PCCCS

PRATIBHA COLLEGE OF
COMMERCE & COMPUTER STUDIES
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> Teaching Staff

> Administration Staff

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> PCCCS Building Floor Plans

> Code of conduct / Professional Ethics

> Performance Appraisal

> Welfare Schemes

> Annual Reports

> Board of Trustees

> College Development Committee

> Examination Committee

> Statutory Committee

> Policy and Procedure

> Organogram

> Overview

> Notice

> Gallery

> Report

> Significance and Objectives

> Committee Information

> Mentoring Cell

> Students’ Development Committee

> Career Guidance and Placement

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PRATIBHA COLLEGE OF COMMERCE & COMPUTER STUDIES
PRATIBHA COLLEGE
OF COMMERCE &
COMPUTER STUDIES
Edit Content

> Teaching Staff

> Administration Staff

> PCCCS Infrastructure

> PCCCS Building Floor Plans

> Code of conduct / Professional Ethics

> Performance Appraisal

> Welfare Schemes

> Annual Reports

> Board of Trustees

> College Development Committee

> Examination Committee

> Statutory Committee

> Policy and Procedure

> Organogram

> Overview

> Notice

> Gallery

> Report

> Significance and Objectives

> Committee Information

> Mentoring Cell

> Students’ Development Committee

> Career Guidance and Placement

Follow us on our Socials:

Facebook Instagram Youtube Telegram Linkedin

  • Post graduation degree added in the department from year 2009 with initial intake 30.
  • Currently department has 90 intake for M.S.c Computer Science.
  • Our departmental tree has grown to hold 174 students.
  • To devlop problem solving abilities using computer
  • To build the necessary skill set and analytical abilities for devloping computer based solution for real life problem
  • To train students in professional skills related to software industry
  • To Prepare nessary knowlage based for reasearch and devlopment in computer science
  • To help students build-up a successful career in computer science and to procedure enterpreneurs who can innovate and
    devlope software products
  • Excellent Infrastructure with spacious class rooms, computer laboratory.
  • Highly qualified, experienced & approved staff.
  • Seminars and Guest Lectures by Industrialists and subject experts.
  • Technical & Non-technical program are arranged to enhance the IT & soft skills.
  • Project Guidance by alumni’s and industrialists.
  • Student mentoring system for giving personal touch to each of the students. The faculty member
    provides constant support and every piece of advice to the students whenever he/she faces a problem
    with any aspect of the curriculum or any personal problems.

📄 Special Features:

Download Document

IT Resources

Open Sources :
C, php, java, netbeans, postgresql, wamp, open GL on linux platform.

Hardware :

  • Vivek Vahini (Science Association)
  • RBPT (Research Based Pedagogical Tools)
  • Social responsibility – No Vehicle Day
  • Learning through Statistical games
  • Listing of plant species in Campus
  • Industrial Visit/ Field Visit to esteem organizations, to provide practical knowledge to students like
    • Satara- Ajiyankya tara sugar Institute
    • Botanical Survey of India, Pune regional Office.
    • Gipsom Garden, Naneghat
    • Onion Garlic Research Institute, Rajgurunagar, Pune.
    • Mamta Milk Dairy PVT. Ltd.
    • Agriculture College, Shivajinagar, Pune.
    • Malavali, Lonavala – Biodiversity Study
    • Vasantdada sugar institute Manjari
  • Social Responsibility Activity with Vatsalya Matimand School Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.

Best Practices of Department

M.Sc. Computer Science (Part-I)

M.Sc. Computer Science (Part-II)

Curricular activity :

  • Conducted Remedial / Bridge course.
  • Cyber Security & CPMA.
  • Workshop on software development.

Co- Curricular activity :

  • National Level Conference.
  • “Bits Bytes In IT “ &
  • “ Recent Trends in IT.
  • State Level Seminar In Statistics.
  • State Level Seminar In Electronic.
  • Soft –Skills & Personality Development Programs.
  • Career Counseling & Mentoring.
  • Hands-On Industrial Training Visits .
  • Guest Lecture Series.
  • Sports Day.

Extra-curricular activity :

  • Alumni Engagement & Take Flight.
  • Live Project Trainings.
  • Entrepreneurship Development.
  • Departmental Activities (Techphilphia , Electrofest ,Mathstract ,Brain-o –Fest ).
  • Teacher Day Celebrations.
  • Notice board.
  • Parent’s meeting.

Social concern :

  • Skill Development Trainings.

Faculty Achievements:

Students Achievements:

 

  • Post graduation degree added in the department from year 2009 with initial intake 30.
  • Currently department has 90 intake for M.S.c Computer Science.
  • Our departmental tree has grown to hold 174 students.
  • To devlop problem solving abilities using computer
  • To build the necessary skill set and analytical abilities for devloping computer based solution for real life problem
  • To train students in professional skills related to software industry
  • To Prepare nessary knowlage based for reasearch and devlopment in computer science
  • To help students build-up a successful career in computer science and to procedure enterpreneurs who can innovate and
    devlope software products
  • Excellent Infrastructure with spacious class rooms, computer laboratory.
  • Highly qualified, experienced & approved staff.
  • Seminars and Guest Lectures by Industrialists and subject experts.
  • Technical & Non-technical program are arranged to enhance the IT & soft skills.
  • Project Guidance by alumni’s and industrialists.
  • Student mentoring system for giving personal touch to each of the students. The faculty member provides constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.

📄 Special Features: Download Document

IT Resources

Open Sources :
C, php, java, netbeans, postgresql, wamp, open GL on linux platform.

Hardware :

  • Vivek Vahini (Science Association)
  • RBPT (Research Based Pedagogical Tools)
  • Social responsibility – No Vehicle Day
  • Learning through Statistical games
  • Listing of plant species in Campus
  • Industrial Visit/ Field Visit to esteem organizations, to provide practical knowledge to students like
    • Satara- Ajiyankya tara sugar Institute
    • Botanical Survey of India, Pune regional Office.
    • Gipsom Garden, Naneghat
    • Onion Garlic Research Institute, Rajgurunagar, Pune.
    • Mamta Milk Dairy PVT. Ltd.
    • Agriculture College, Shivajinagar, Pune.
    • Malavali, Lonavala – Biodiversity Study
    • Vasantdada sugar institute Manjari
  • Social Responsibility Activity with Vatsalya Matimand School Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.

View Faculty List ->

Programmes & Courses Outcomes Click Here

M.Sc. Computer Science (Part-I))

M.Sc. Computer Science (Part-II)

Curricular activity :

  • Conducted Remedial / Bridge course.
  • Cyber Security & CPMA.
  • Workshop on software development.

Co- Curricular activity :

  • National Level Conference.
  • “Bits Bytes In IT “ &
  • “ Recent Trends in IT.
  • State Level Seminar In Statistics.
  • State Level Seminar In Electronic.
  • Soft –Skills & Personality Development Programs.
  • Career Counseling & Mentoring.
  • Hands-On Industrial Training Visits .
  • Guest Lecture Series.
  • Sports Day.

Extra-curricular activity :

  • Alumni Engagement & Take Flight.
  • Live Project Trainings.
  • Entrepreneurship Development.
  • Departmental Activities (Techphilphia , Electrofest ,Mathstract ,Brain-o –Fest ).
  • Teacher Day Celebrations.
  • Notice board.
  • Parent’s meeting.

Social concern :

  • Skill Development Trainings.

Faculty Achievements:

Students Achievements:

Course Outcomes:

View Document ->

Program Outcomes:

View Document ->
SyllabusFY MSc(CA)SY MSc(CA)
 

Establishment / Milestones:

  • This department is established in the year 2022.
  • The current strength of this department is 31 students.
  • M.Sc. (Computer Applications) Program is of Two Years duration with four semesters. 

post graduate Degree Program. The program is based on credit system comprising of total 88 credit points.

Eligibility:

A Bachelor Degree in Science/Technology/Engineering with minimum 50% marks or equivalent for student belonging to Unreserved Category and minimum 45% or equivalent for students belonging to the Reserved Category.

Highlights:

  • Excellent Infrastructure with spacious class rooms, computer laboratory.
  • Highly qualified, experienced & approved staff.
  • Seminars and Guest Lectures by Industrialists and subject experts.
  • Technical & Non-technical program are arranged to enhance the IT & soft skills.
  • Project Guidance by alumni’s and industrialists.
  • Student mentoring system for giving personal touch to each of the students.
  • The faculty member provides constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.

Objectives:

The objective of the Program is to produce trained software professionals with hands-on experience on state-of-the art technologies who will be able to handle challenges in IT industry. The objectives of M.Sc. (Computer Applications) program are: –

  • To produce knowledgeable and skilled human resources that is employable in IT and ITES.
  • To impart knowledge required for planning, designing and building Complex
  • Application Software Systems as well as to provide support for automated systems or applications.
CO-PO

Softwares:

C++, php, java, netbeans, Weka, Software Testing , Selenium, Android, Web Services, Python, Django, IOT, Artificial Intelligence

Hardware:

Lab No.

Area

No. of PCs

Projector

Laptop 

Printer

Configuration

Lab I

815.34 Sq.ft

40

01

01

–

INTEL CORE 2 DEUO E8500 @

Lab II

780.89 sq.ft.

40

01

01

04

Pentium 4

Lab III

648sq. Ft.

40

01

02

01

Intel P4

Lab IV

 

40

01

01

02

Intel Dual Core

Lab V

 

41

01

01

01

i5 4th Generation

  • Vivek Vahini (Science Association)
  • RBPT (Research Based Pedagogical Tools)
  • Social responsibility – No Vehicle Day
  • Learning through Statistical games
  • Listing of plant species in Campus
  • Industrial Visit/ Field Visit to esteem organizations, to provide practical knowledge to students like
    • Satara- Ajiyankya tara sugar Institute
    • Botanical Survey of India, Pune regional Office.
    • Gipsom Garden, Naneghat
    • Onion Garlic Research Institute, Rajgurunagar, Pune.
    • Mamta Milk Dairy PVT. Ltd.
    • Agriculture College, Shivajinagar, Pune.
    • Malavali, Lonavala – Biodiversity Study
    • Vasantdada sugar institute Manjari
  • Social Responsibility Activity with Vatsalya Matimand School Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.

  • KALEIDOSCOPE CLUB

S.NoPhotoName and Qualification of faculty
1Ms.Suvarna GogateB.Sc.(CS), MCA, P.h.D. Perusing 
2Ms. Rutuja ChavanB.Sc., MCA, MCM,  Ph.D Perusing
3Ms. Jayshree KambleB.Sc.(CS), M.Sc.(C.S.),  Ph.D Perusing
4Ms. Varsha ThakareB.Sc.(CS), M.Sc.(C.S.)
5Ms. Nikita BhamareB.Sc.(CS), M.Sc.(C.S.)
6Ms. Gouramma KadadiBCA, MCA
7Ms. Snehal MohiteB.E(Comp Sci)
8Ms. Madhuri GandhiBCA, MCA(Commerce)
9Ms. Priti KarajkhedeBCA, MCA, SET
10Ms. Rashmi PimparkarBCA, M.Sc.(C.S.)
11Ms. Netra ArilikittiB.E.(CS),M.Sc.(C.S.) B.Ed
M.Sc. Computer Application (Part-I))M.Sc. Computer Application (Part-II)

Curricular activity:

  • Remedial / Bridge course.
  • Departmental Competitions

Co-Curricular activity:

  • State or National Level Conference/Seminar/Webinar.
  • Soft –Skills & Personality Development Programs.
  • Career Counselling & Mentoring.
  • Guest Lectures series /workshops on recent IT trends related to academics .
  • Sports Day Celebration.
  • Cultural Fest
  • Field and Industry visit
  • Skill Development Trainings.
  • Birth and Death anniversary and Famous day celebrations.
  • Special Attractions : PRAGYAN 1.O and VIGYAAN 2024 ( Different Competitions).

Establishment / Milestones:

Two Year Post graduation Degree Course, M.Sc(Computer Applications)was introduced in the Department from year 2022-23with initial intake 30.

Objectives:

•To produce trained software professionals with hands-on experience on state-of-the art technologies who will be able to handle software challenges in industry as well as academia.

•To produce knowledgeable and skilled human resources that is employable in IT and ITES.

•To impart knowledge required for planning, designing and building Complex Application Software Systems as well as to provide support for automated systems or applications.

•To produce entrepreneurs.

Eligibility:

A Bachelor Degree in Science/Technology/Engineering with minimum 50% marks or equivalent forstudent belonging to Unreserved Category and minimum 45% or equivalent for students belonging tothe Reserved Category.

Highlights:

•Excellent Infrastructure with spacious class rooms, computer laboratory.

•Highly qualified, experienced & approved staff.

•Seminars and Guest Lectures by Industrialists and subject experts. Technical & Non-technical program are arranged to enhance the IT & soft skills.

•Project Guidance by alumni’s and industrialists.Student mentoring system for giving personal touch to each of the students.

•The faculty membersprovide constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.

Softwares:

C++, php, java, netbeans, Weka,Software Testing , Selenium,Android,Web Services, Python, Django, IOT, Artificial Intelligence

Hardware:

Lab No. 

Area 

No. of PCs 

Projector 

Laptop  

Printer 

Configuration 

Lab I 

815.34 Sq.ft 

40 

01 

01 

– 

INTEL CORE 2 DEUO E8500 @ 

Lab II 

780.89 sq.ft. 

40 

01 

01 

04 

Pentium 4 

Lab III 

648sq. Ft. 

40 

01 

02 

01 

Intel P4 

Lab IV 

 

40 

01 

01 

02 

Intel Dual Core 

Lab V 

 

41 

01 

01 

01 

i5 4th Generation 

  • Vivek Vahini (Science Association)
  • RBPT (Research Based Pedagogical Tools)
  • Social responsibility – No Vehicle Day
  • Learning through Statistical games
  • Listing of plant species in Campus
  • Industrial Visit/ Field Visit to esteem organizations, to provide practical knowledge to students like
    • Satara- Ajiyankya tara sugar Institute
    • Botanical Survey of India, Pune regional Office.
    • Gipsom Garden, Naneghat
    • Onion Garlic Research Institute, Rajgurunagar, Pune.
    • Mamta Milk Dairy PVT. Ltd.
    • Agriculture College, Shivajinagar, Pune.
    • Malavali, Lonavala – Biodiversity Study
    • Vasantdada sugar institute Manjari
  • Social Responsibility Activity with Vatsalya Matimand School Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.
View Details ->

Curricular activity:

•Remedial / Bridge course.

•Departmental Competitions

Co-Curricular activity:

•State or National Level Conference/Webinar.

•Soft –Skills & Personality Development Programs.

•Career Counselling & Mentoring.

•Guest Lectures series /workshops on recent IT trends.

•Sports DayCelebration.Social concern:

•Skill Development Trainings.

View Document ->

Establishment / Milestones:

Two Year Post graduation Degree Course, M.Sc(Computer Applications)was introduced in the Department from year 2022-23with initial intake 30.

Objectives:

•To produce trained software professionals with hands-on experience on state-of-the art technologies who will be able to handle software challenges in industry as well as academia.

•To produce knowledgeable and skilled human resources that is employable in IT and ITES.

•To impart knowledge required for planning, designing and building Complex Application Software Systems as well as to provide support for automated systems or applications.

•To produce entrepreneurs.

Eligibility:

A Bachelor Degree in Science/Technology/Engineering with minimum 50% marks or equivalent forstudent belonging to Unreserved Category and minimum 45% or equivalent for students belonging tothe Reserved Category.

Highlights:

•Excellent Infrastructure with spacious class rooms, computer laboratory.

•Highly qualified, experienced & approved staff.

•Seminars and Guest Lectures by Industrialists and subject experts. Technical & Non-technical program are arranged to enhance the IT & soft skills.

•Project Guidance by alumni’s and industrialists.Student mentoring system for giving personal touch to each of the students.

•The faculty membersprovide constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.

Softwares:

C++, php, java, netbeans, Weka,Software Testing , Selenium,Android,Web Services, Python, Django, IOT, Artificial Intelligence

Hardware:

Lab No. 

Area 

No. of PCs 

Projector 

Laptop  

Printer 

Configuration 

Lab I 

815.34 Sq.ft 

40 

01 

01 

– 

INTEL CORE 2 DEUO E8500 @ 

Lab II 

780.89 sq.ft. 

40 

01 

01 

04 

Pentium 4 

Lab III 

648sq. Ft. 

40 

01 

02 

01 

Intel P4 

Lab IV 

 

40 

01 

01 

02 

Intel Dual Core 

Lab V 

 

41 

01 

01 

01 

i5 4th Generation 

  • Vivek Vahini (Science Association)
  • RBPT (Research Based Pedagogical Tools)
  • Social responsibility – No Vehicle Day
  • Learning through Statistical games
  • Listing of plant species in Campus
  • Industrial Visit/ Field Visit to esteem organizations, to provide practical knowledge to students like
    • Satara- Ajiyankya tara sugar Institute
    • Botanical Survey of India, Pune regional Office.
    • Gipsom Garden, Naneghat
    • Onion Garlic Research Institute, Rajgurunagar, Pune.
    • Mamta Milk Dairy PVT. Ltd.
    • Agriculture College, Shivajinagar, Pune.
    • Malavali, Lonavala – Biodiversity Study
    • Vasantdada sugar institute Manjari
  • Social Responsibility Activity with Vatsalya Matimand School Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.

Curricular activity:

•Remedial / Bridge course.

•Departmental Competitions

Co-Curricular activity:

•State or National Level Conference/Webinar.

•Soft –Skills & Personality Development Programs.

•Career Counselling & Mentoring.

•Guest Lectures series /workshops on recent IT trends.

•Sports DayCelebration.Social concern:

•Skill Development Trainings.

Overview

The Department of Chemistry of ‘PRATIBHA’ (Affiliation SPPU) aims at developing young talent for the chemical industry and academia. The curriculum is developed in such a way that the students are able to venture into allied fields too. The aim of the department through the courses it offers is to provide “a cut above the rest” man-power to the ever growing demands of the industry and to prepare students for higher studies and research. The interactive method of teaching at ‘PRATIBHA’ (Affiliation SPPU) is to bring about attitudinal changes to future professionals of the industry.

Equal importance is given to practical and theoretical methods of learning apart from experiential and digital modes of learning. Industrial projects form an integral part of the curriculum. Apart from the syllabus, the University emphasizes on Value Addition Programs like Current Affairs, Holistic Education, Certificate Courses and Placement Training Programs, which include training students in group discussions, facing interviews and so on.

Message

The Department of chemistry is one of the dynamic departments at PRATIBHA (Affiliation SPPU), established in 2015. We have a diverse student population with representation from almost all parts of Maharashtra and other states of India. The department is blessed with highly qualified faculty members who are from diverse backgrounds with abroad experience and involved in leading research in different areas of the subject as well as interdisciplinary areas. The curriculum undergoes frequent revision and provides opportunities for projects and joint research with faculty members.

The postgraduate program currently offers opportunities to specialize in organic, analytical, and general chemistry. Apart from curricular subjects, the department provides personality development and society-oriented programs, career guidance, placement, and opportunities to organize and participate in competitions, seminars, and conferences. Our commitment to excellence in teaching and research has helped the students graduated from the department achieve distinction in academia and industry.

Why choose this course?

  • Holistic Foundation in Chemistry
  • Hands-On Laboratory Focus
  • Modern Analytical Techniques
  • Path to Advanced Studies
  • Comprehensive Chemical Foundation

What you will learn?

  • Understand basic concepts in Chemical and biological sciences
  • Apply ethical principles and responsibilities while conducting experimental studies.
  • Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific issues
  • Express proficiency in oral and written communications to appreciate innovations in research.
  • Develop the critical thinking with scientific temper
  • Engage in continuous reflective learning in the context of technological and scientific advancements

Career prospects

  • Master of Science in Chemistry
  • Research in Chemistry
  • Pharmaceutical Industry Researcher
  • Higher education reputed institutes in India and abroad
  • Clinical Laboratory Scientist
  • Environmental Scientist
  • Chemical or Analytical Chemists in Various Industries
  • Quality Control Analyst or Food Technologist
  • Academic Researcher or Science Educator
  • Careers in Patents and IPR
  • Bachelor of Education/Teaching

Job profiles

Research opportunities

Government opportunities

  • Analytical chemist
  • Clinical scientist
  • Color technologist
  • Forensic scientist
  • Food and flavor chemist
  • Nanotechnologist
  • Pharmacologist
  • Toxicologist
  • Scientist at varies  pharma/chemical/  pesticide companies
  • Academic researcher
  • Research scientist (physical  sciences)
  • Research associate at BPCL, IOCL,

ONGC, HPCL,

  • Higher Studies PhD Abroad (Full

scholarships at Japan, South Korea, Singapore, Canada and USA)

  • Research Associate/Scientist at

DRDO

  • Forensic science demonstrator/ scientist at govt. Forensic Labs.
  • Scientist at BARC
  • Faculty position in Government Institutes/ Universities

Objectives of the Program

The UG degree in Chemistry aims to provide:

  • Comprehensive knowledge and coherent understanding of the Chemistry.
  • Knowledge and skills in Chemistry and related interdisciplinary areas thereby enhancing students’ employability /entrepreneurship.
  • In-depth knowledge in Chemistry through understanding of key concepts, principles, theories and their manifestations.
  • Critical and analytical thinking, scientific reasoning, creativity, problem-solving skills, communication skills and teamwork.
  • Competence and skill in solving both theoretical and applied problems.
  • Exposure to the latest advances in Chemistry, allied disciplines and research.
  • Inculcate digital skills in Chemistry and interdisciplinary areas.
  • Moral and ethical awareness, leadership qualities, innovation, and life-long learning.
  • Multicultural and multilingual competence, inclusive spirit, and value education.
  • Responsibility for Community engagement and service.
  1. Programme Outcomes (POs) 

PO No.

PO Statement 

After completing the Master of Science degree students are able to

Knowledge and  Skill

PO-1

Learn the terms, theories, assumptions,  methods, principles, theorem statements and  classification

Disciplinary  

knowledge

PO-2

Fix out the problem and resolve it using  theories and practical knowledge.

Critical thinking and Problem solving

PO-3

Inculcate knowledge for carrying projects and  advanced research related skills.

Research related skill

PO-4

Actively participate in team on case studies  and field-based situations.

Cooperation/Team  

work

PO-5

Analyze and interpret ideas, evidences and  experiences with learned scientific reasoning

Scientific reasoning

PO-6

Aware and implement the subject facts that  can be applied for the personal and social  development

Reflective thinking

PO-7

Use digital literacy to retrieve and evaluate  subject related information

Information/Digitally  literacy

PO-8

Get moral and ethical values for society as  well as in research

Moral and ethical  

awareness

PO-9

Give analytical reasoning to interpret research  data.

Analytical Reasoning

PO-10

Improve their managerial skills and abilities in  subject related activities.

Leadership  

readiness/qualities

PO-11

Inculcate continuous learning habit through all  available resources.

Lifelong  

readiness/qualities

Name of the FacultyDesignationQualificationExperiencePhoto
Dr. Rajendra KankariyaAdjunct ProfessorM. Phil., Ph. D.M. A., M. Com., LL. M., M. B. A., M. Sc. D.M., M.A. J & MC.Principal of 3 Colleges-18 yearsRegistrar of 2 Universities-05 yearsLecturer/Assistant Professor/Associate Professor-16 yearsProfessor-18 years
Dr. Yogesh JorapurAssistant ProfessorM.Sc. (Chemistry), Ph.D., Postdoc (Japan, S. Korea)2 yrs. R & D Pharma; 8 years Postdoc. Japan/S. Korea; 2 years PG &  7 years UG teaching
Dr. Surekha JogdandAssistant ProfessorM.Sc. (Chemistry), Ph.D.13 years
Dr. Seema PatilAssistant ProfessorM.Sc. (Chemistry), Ph.D.6 years
M.Sc. Organic Chemistry Syllabus ->

Introduction and Objectives:

The Master of Science in Cyber Security (M.Sc. Cyber Security) program is designed to provide advanced education and training in the field of Cyber Security.

This comprehensive program aims to equip students with a profound understanding of theoretical concepts, practical skills, and cutting-edge technologies relevant to the rapidly evolving world of computing.

With a strong emphasis on academic excellence and research-driven learning, the M.Sc. Cyber Security program seeks to nurture a community of skilled Cyber security professionals capable of addressing complex challenges across various industries.

By fostering a stimulating and innovative learning environment, we strive to empower our students to become leaders, innovators, and agents of positive change in the field of Computer Science.

Establishment:

Two Year Post graduation Degree Course, M.Sc. (Cyber Security) introduced in from A.Y. 2025-26

Intake: 30 Students

 

Highlights:

  • Excellent Infrastructure with spacious class rooms, computer laboratory.
  • Highly qualified, experienced & approved staff.
  • Seminars and Guest Lectures by Industrialists and subject experts. Technical & Non-technical program are arranged to enhance the IT & soft skills.
  • Project Guidance by alumni’s and industrialists. Student mentoring system for giving personal touch to each of the students.
  • The faculty members provide constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.

(a) B.Sc. (Cyber and Digital Science) OR

(b) B.Sc. (Cyber Security) OR

(c) Bachelor of Computer Science (B.C.S.) OR

(d) B.Sc. (Computer Science) OR

(e) B.C.A. (Science) OR

(f) B.Sc. (Information Technology) OR

(g) B.Sc. (Cloud Computing) OR

(h) Bachelor of Engineering (BE) in Computer Science/Information Technology/Electronics and Telecommunication/AI and Data Science/AI and Machine Learning/ equivalent OR

(i) B.Voc. in Software Development/ Information Technology OR

(j) B.Sc. with Computer Science as Principal Subject OR

(k) General B.Sc. with Computer Science as one of the subject at TYBSc level OR

(l) Graduate degree from a recognized university / institution with an equivalent qualification.

Name of the FacultyDesignationQualificationExperiencePhoto
Mrs. Dipali L. MahajanProgram CoordinatorM.Sc. (C.S.) SET16 years
Dr. Aparna JoshiAssistant ProfessorM.Sc.(C.S), B.Ed, SET, Ph.D19 Years
Mrs. Neeta Gatkal Assistant ProfessorM.Sc. (Electronics) NET 15 years
Dr Anuradha GhodkeAssistant ProfessorMA MPhil PhD (English)16+ years
Ms. Shivani S TikoneAssistant ProfessorM.Sc(CS)2 years
Mrs. Pallavi SuryawanshiAssistant ProfessorM.Sc(CS)8+ years
Mrs. Pallavi Patil Assistant ProfessorMCA4.5 Years
Mrs. Prajakta A Yeole Assistant ProfessorMCA1 years
Ms. Kanchan Patil Assistant ProfessorM.Sc(CS)1.4 Years
Mrs. Madhuri Chaudhari Assistant ProfessorMCA, Pursuing Ph.D10+ Years
Mrs. Mayura SawantAssistant ProfessorM.Sc(CS)9 Years

IT Resources:

 

Sr. No.

Name

Total No of License

01

Antivirus Software: Quick heal Seqrite for Windows

Admin Console 500/- Copies 2

02

Microsoft

Campus Agreement 3

03

Linux Kali

Open Sources

 

Physical Facilities

1. No. of ICT enabled classrooms: 2

2. No. of Laboratories: 3

3. Lab 403 (Capacity – 70)

4. Lab 404 (Capacity – 70)

5. S4 Lab (Capacity – 40)

6. Electronic Lab (Capacity – 40)

Introduction

Programme Description 

 In today’s tech-driven world, access to vast amounts of information and ways to interpret it have taken priority than ever before. Real time processing of this huge data is also a major requirement in every walk of life. It also means we need more people who can organize and analyze that information – people who can use data to make change and help businesses. Data science employs a variety of instruments, scientific procedures, methods, and algorithms to glean insights from both structured and unstructured data. This Data Science program integrates scientific methods from statistics, computer science and data-based business management to extract knowledge from data and drive decision making. Our curriculum provides students with a rigorous course of study in big data technologies, applications and practices a pathway for student internships and full-time employment. Students are prepared to meet the challenges at the intersection between big data, business analytics, and other emerging fields.   

 

Why Choose an M.Sc. in Data Science?  

  • High Demand – Skilled data professionals are needed worldwide, with roles often offering remote work flexibility. 
  • Lucrative Career Opportunities – Students can work as data scientists, machine learning engineers, data analysts, AI specialists, or business intelligence analysts. 
  • Cross-Disciplinary Applications – Data science is used in everything from disease prediction to stock market analysis, climate modeling to customer behavior prediction, sports to Government and many more. 
  • Research & Innovation Opportunities – It opens pathways to Ph.D. programs or AI research roles if you’re academically inclined. 
  • Global Career Mobility – It enhances your credibility in the job market and can fast-track immigration pathways in tech-focused countries. 

 

Career Scope 

High Demand Across Industries 

Almost every sector needs data professionals. Key industries include: 

  • Technology & Software 
  • Finance & Banking 
  • Healthcare & Pharma 
  • Retail & E-commerce 
  • Telecommunications 
  • Manufacturing & Supply Chain 
  • Government & Policy Research 
  • Media & Entertainment 
  • Education & Ed Tech 

 

Applications of  Programme  

Finance & Banking: Credit Scoring, Algorithmic Trading, Customer Segmentation, Fraud Detection. 

Healthcare: Predictive Diagnostics, Medical Imaging, Drug Discovery, Hospital Management. 

Retail & E-commerce: Recommendation Systems, Customer Sentiment Analysis, Inventory Forecasting, Dynamic Pricing 

Education: Learning Analytics, Dropout Prediction, Curriculum Optimization 

Other features 

  • On Job Training (OJT) – At DSO, Banks, Industry, Govt. Offices 
  • Field Visits – NSO, Onion Garlic Research Centre, Vasantdada Sugar Institute and many more 
  • Projects & Research Work – Student friendly Faculty Members who help in projects and research work. 
  • Practicals – Practicals are conducted in R, Python and Other Softwares. (One Student – One Desktop) 
  • Outdoor Management Trip (OMT) 

Objectives of M.Sc. Data Science 

An M.Sc. in Data Science program generally aims to equip students with the knowledge and skills to analyze complex datasets, extract meaningful insights, and develop data-driven solutions. This involves a combination of theoretical foundations, practical applications, and hands-on experience with industry-standard tools and technologies.  

Here’s a more detailed look at the typical objectives: 

** Core Objectives: 

  • Develop a strong foundation in data science principles: 

This includes understanding statistical analysis, machine learning algorithms, data mining techniques, and data visualization methods.  

  • Master programming languages and tools: 

Proficiency in languages like Python and R, along with tools for data manipulation, analysis, and visualization (e.g., Pandas, NumPy, Matplotlib, etc.) is crucial.  

  • Learn to manage and process large datasets: 

Understanding data storage, data warehousing, and big data technologies (e.g., Hadoop, Spark) is essential for handling the scale of data encountered in modern applications.  

  • Gain practical experience through case studies and projects: 

Real-world applications and case studies help students apply their knowledge and develop problem-solving skills in various domains.  

  • Cultivate analytical and critical thinking: 

Data science requires the ability to formulate hypotheses, analyze data, and draw logical conclusions, which are emphasized throughout the program.  

  • Enhance communication and presentation skills: 

Data scientists need to effectively communicate their findings to both technical and non-technical audiences, through visualizations and clear reports.  

  • Foster ethical and responsible data practices: 

Understanding the ethical implications of data collection, analysis, and usage is increasingly important in the field.  

 

 

** Advanced Objectives: 

  • Specialization in specific areas: 

Some programs offer specializations in areas like spatial data analytics, machine learning, or big data engineering.  

  • Research skills and innovation: 

Advanced programs may encourage research and development in data science, preparing students for careers in academia or R&D.  

  • Interdisciplinary collaboration: 

Data science often involves working with experts from various fields, and programs may emphasize interdisciplinary collaboration.  

  • Entrepreneurial skills: 

Some programs aim to foster an entrepreneurial mindset, enabling students to develop data-driven solutions for businesses.  

In essence, an M.Sc. in Data Science aims to produce graduates who are not only technically proficient but also possess the critical thinking, problem-solving, and communication skills necessary to thrive in the dynamic field of data science.  

Eligibility 

 Graduate degree in Statistics / Mathematics / Computer Science / Computer Application/ Engineering / Technology or any other discipline with a minimum of two years of learning Mathematics or statistics from a recognized university / institution with an equivalent qualification. 

 

Introduction-

The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. (AI & ML)) and B.Sc. (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML. 

Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation. 

These technologies include search, machine learning, and natural language processing, robotics and computer vision.

This course will also introduce the field of Machine Learning, in particular focusing on the Core concepts of supervised, unsupervised learning and reinforcement learning. 

In supervised learning we will discuss algorithms which are trained on input data labeled with a desired output, for instance an image of a face and the name of the person whose face it is, and learn a function mapping from the input to the output. 

Unsupervised learning aims to discover latent structure in input data where no output labels are available.

 Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.

Objectives of the Program:

The B.Sc. in Artificial Intelligence and Machine Learning (AI & ML) aims to provide students with a strong foundation in computer science, mathematics, and the theoretical and practical aspects of AI and ML. 

The primary objectives of the program are:

  1. To build a strong foundational knowledge of core concepts in artificial intelligence, machine learning, data science, and computer programming.
  2. To develop analytical and problem-solving skills necessary to design, develop, and deploy AI/ML models and systems.
  3. To provide hands-on experience with modern tools, programming languages, and frameworks used in AI and ML through lab sessions, projects, and internships.
  4. To cultivate innovation and research aptitude in emerging areas of intelligent systems, deep learning, robotics, natural language processing, and more.
  5. To prepare students for careers in industries such as technology, healthcare, finance, and manufacturing, where AI and ML are transforming operations and decision-making.

Eligibility-

Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/

Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering

Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).

BSc AI/ML Syllabus

Dr. Harshita Vachhani -Head, Dept. of  B.Sc. (AI/ML )

Programme Outcomes-

On the successful completion of the program, the following are the expected outcomes.

PO1: Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.

PO2: Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.

PO3: Identify problems where artificial intelligence techniques are applicable and demonstrate ability to share in discussions of AI, its current scope and limitations, and societal implications.

PO4: Demonstrate proficiency in applying scientific method to models of machine learning.

PO5: Develop an appreciation for what is involved in learning models from data by understanding a wide variety of learning algorithms and by understanding of the strengths and weaknesses of many popular machine learning approaches

PO6: To apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the ML models.

PO7: Consider the pros and cons when choosing ML / AI methods for different applications

PO8: Appreciate the underlying mathematical relationships within and across Machine Learning an AI

PO8: Conduct investigations of complex problems by using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings

PO10: Communicate effectively on complex engineering activities with then engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give clear instructions.