M.Sc. (Major: Computer Science)
Education goes beyond textbooks and classrooms. We believe in empowering students to explore their passions challenge conventions.
The Master of Science (M.Sc. Computer Science) program is designed to provide students with advanced knowledge and practical skills in computing, software development, and modern information technologies. The program focuses on building a strong foundation in computer science principles while equipping students with expertise in emerging areas such as artificial intelligence, data science, cloud computing, and cybersecurity.This program combines theoretical learning with hands-on practical experience through lab work, real-world projects, and research activities. Students develop critical thinking, analytical abilities, and problem-solving skills required to design, develop, and manage advanced computing systems and applications.Graduates of this program are well-prepared for careers in software development, data analysis, system administration, research, and IT consulting across various industries including technology companies, financial institutions, government organizations, and research institutions. The program also provides a strong academic foundation for pursuing higher studies such as Ph.D. in Computer Science or related fields.
Program Highlight
Master of Science (M.Sc. Computer Science)
Typical Program Structure
- Course: Master of Science (M. Sc. (Major: Computer Science)
- Duration:2 Years (4 Semesters)
- Mode: Full-time postgraduate program
- Eligibility: B. Sc. Course with Computer Science as one of the optional subjects or Bachelor of Computer Application (BCA)or B. Sc. (IT) or B. Sc. (Data Science) with not less than 45% of aggregate marks (40% in case of students from reserved categories), or equivalent CGPA from any of the recognised university is eligible to enrol for M. Sc. (Computer Science) part I (Semester l). However, the student who has completed a four-year B. Sc. course [B. Sc. (Honours)/(Research) as per NEP- 20201 with Computer Science/Information Technology/Data Science as the major subject or Bachelor of Computer Application (BCA) with not less than 45% of aggregate marks (40% in case of student from reserved category) or equivalent CGPA from any of the recognised university is eligible to enrol directly to M. Sc. (computer Science) part II semester III).
Objectives of the Program
To produce outstanding Computer Scientists who can apply the theoretical knowledge into practice in the real world and develop standalone live projects themselves.
To provide an opportunity for the study of modern methods of-information processing and its applications
To develop among students the programming techniques and the problem-solving skills through programming
Programme Specific Outcomes (PSOs)
The ability to apply theoretical foundations of Computer Science and problem-solving skills through programming techniques for complex real-time problems using appropriate data structures and algorithms. .
The ability to design/develop hardware and software interfaces along with database management to meet the needs of industry.
The ability to demonstrate personal, organizational, and entrepreneurial skills through critical thinking, and engage themselves in lifelong learning by following innovations in business. science & technology
Ethics on Profession, Environment and Society: Exhibiting professional ethics to maintain the integrity in a working environment, and also having concern for societal impacts due to computer-based solutions for problems.
| Regular Students | Required Credits |
|---|---|
| Core Courses | 30 Credits |
| Computer Science Core 30 Credits Elective Courses 6 Credits Research Project / Dissertation 6 Credits | 30 Credits |
| Elecive Courses | 6 Credits |
| Research Project / Dissertation | 6 Credits |
Core Courses
The Science (S) Core develops a strong foundation in scientific principles, analytical thinking, and evidence-based problem-solving These courses introduce students to the fundamental concepts of the natural world while strengthening their abilities to observe, experiment.
| Semester 1 | Courses Code | Core Courses | Credits |
|---|---|---|---|
| Foundations in Communication & Critical Thinking (12 Required Credits) | IBS301 | International Business Management | 3 Credits |
| BUS109 | Introduction to Microeconomics | 3 Credits | |
| MKT200B | Principles of Marketing | 3 Credits | |
| BUS308B | Strategic Management | 3 Credits | |
| Accounting | BUS325B | Introduction to Operations Management & Decision Science | 3 Credits |
| FIN305 | Introduction to Corporate Finance | 3 Credits | |
| BUS110 | Introduction to Macroeconomics | 3 Credits | |
| ACC101 | Introduction to Accounting | 3 Credits | |
| Management | BUS100A | Introduction to Business | 3 Credits |
| BUS211C | People and Organization | 3 Credits |
Science (S) Core
The Science (S) Core develops a strong foundation in scientific principles, analytical thinking, and evidence-based problem-solving These courses introduce students to the fundamental concepts of the natural world while strengthening their abilities to observe, experiment.
| Semester 2 | Courses Code | Science | Credits |
|---|---|---|---|
| Science | PHY 101 | Conceptual Physics | 3 Credits |
| BIO 105 | Introduction to Life Sciences | 3 Credits | |
| PHY 101 | Introduction to Physical Science | 3 Credits | |
| ENV 110 | Environmental Science | 3 Credits | |
| Technology | CS 101 | Digital Foundations and Applied Programming | 3 Credits |
| TECH 205 | Management Information Systems (MIS) | 3 Credits | |
| ENGR 100 | Introduction to Engineering Principles | 3 Credits | |
| DATA 210 | Data Management and Visualization | 3 Credits | |
| Mathematics | MATH 115 | College Algebra and Trigonometry | 3 Credits |
| STAT 201 | Probability and Statistics | 3 Credits |
Business (B) Core
The Business Core, requiring 30 credits (typically eleven 3-credit courses), is the largest component of the foundational curriculum. It ensures students gain a comprehensive, interdisciplinary understanding of the functional areas necessary to operate and manage an organization.
| Semester 3 | Courses Code | Business Core | Credits |
|---|---|---|---|
| Finance | IBS301 | International Business Management | 3 Credits |
| BUS109 | Introduction to Microeconomics | 3 Credits | |
| MKT200B | Principles of Marketing | 3 Credits | |
| BUS308B | Strategic Management | 3 Credits | |
| Accounting | BUS325B | Introduction to Operations Management & Decision Science | 3 Credits |
| FIN305 | Introduction to Corporate Finance | 3 Credits | |
| BUS110 | Introduction to Macroeconomics | 3 Credits | |
| ACC101 | Introduction to Accounting | 3 Credits | |
| Management | BUS100A | Introduction to Business | 3 Credits |
| BUS211C | People and Organization | 3 Credits |
Dr Liladhar Rewatkar
M. Sc. (CS), M. Phil. (CS), Ph.D.
Head, Senior Assistant Professor (Grade 11)
Dr Debasis Das
MCA, M. Sc., MBA, Ph. D.
Assistant Professor
Dr Avinash Hedaoo
M. Sc. (CS), Ph. D. SET
Assistant Professor
Dr Vijay Nikam
MCA, Ph. D.
Assistant Professor
Mr. Chandrashekhar Tople
M.Sc. [CS], SET, B. Ed
Assistant Professor
Ms. Priyanka Chandawar
MCA, NET
Assistant Professor
Ms. Poorva Wagh
MCA, M. Sc. NET
Assistant Professor
Ms. Sharvari Ramteke
M. Sc. (CS) NET
Assistant Professor
Mr. Ajay Nanwatkar
MCA,SET
Assistant Professor
Ms. Neha Samundre
MCM, M. Sc.
Assistant Professor
Ms. Rupali Surve
M. Sc. (CS) M.Phil. B. Ed.
Assistant Professor
Ms. Rajshree K. Akare
MCA
Assistant Professor
Ms. Mrunali A.Nikure
M. Sc. (CS)
Assistant Professor
Ms. Anamika Bhagat
M. Sc. (CS), SET
Assistant Professor
Ms. Nancy Purohit
M. Sc. (CS), MGSC
Assistant Professor
Ms. Shikha Gajbhiye
M. Sc. (Maths)
Assistant Professor
Ms Naina Khokad
MCA
Assistant Professor
Ms. Harshita Nagpure
M. Sc. (CS)
Assistant Professor
Ms. Sneha Ambekar
MCA
Assistant Professor
Ms. Nayana Puri
B. E.
Assistant Professor
Ms. Jyoti Yadav
M. Sc. (Stats)
Assistant Professor
Ms. Mansi Dhenge
MCA
Assistant Professor
Ms. Gitanjali Kale
M. Sc. (CS)
Assistant Professor
Publication
| Sr.No. | Year | Title of Papers | DOI |
|---|---|---|---|
|
1 |
2025 |
Rewatkar L & Awasare P. ‘Customer Churn Prediction from Large Datasets in Python’, STAP Journal, Vol. 11(3), 2025, pp.300-305. |
https://doi.org/24.20089.STAPS.2025.V11.3.01630 |
|
2 |
2025 |
Rewatkar L & Choudhary S. ‘Predicting Disease Outbreak from Healthcare Data Using Python’, STAP Journal, Vol. 11(3), 2025, pp.306-313. |
https://doi.org/24.20089.STAPS.2025.V11.3.01631 |
|
3 |
2025 |
Rewatkar L & Gaikwad S. ‘Customer Purchase Pattern Analysis in Retail Using Power BI’, STAP Journal, Vol. 11(3), 2025, pp.314-322. |
https://doi.org/24.20089.STAPS.2025.V11.3.01632 |
|
4 |
2025 |
Rewatkar L & Rokde S. ‘Visualizing an Interactive Sentiment Analysis Dashboard for Social Media Data with Python’, STAP Journal, Vol. 11(3), 2025, pp.323-329. |
https://doi.org/24.20089.STAPS.2025.V11.3.01633 |
|
5 |
2025 |
Rewatkar L & Khadatkar T. ‘Cloud-based Data Lake Implementation Using Python’, STAP Journal, Vol. 11(3), 2025, pp.330-337 |
https://doi.org/24.20089.STAPS.2025.V11.3.01634 |
| Sr.No | Faculty Name | Books Titles | National / International | ISBN | Publisher |
|---|---|---|---|---|---|
|
1 |
Dr Liladhar Rewatkar, Dr Nirzar Kulkarni, Dr Ujwal Lanjewar & Dr Manjiri Pathak |
Computer Application in Business |
National |
978-93-91322-82-3 |
Alliance & Co., Nagpur |
|
2 |
Dr Liladhar Rewatkar, Dr Nirzar Kulkarni, Dr Ujwal Lanjewar & Dr Manjiri Pathak |
Content Writing |
National |
978-93-91322-90-8 |
Alliance & Co., Nagpur |
|
3 |
Dr Liladhar Rewatkar, Dr Ujwal Lanjewar & Dr Nirzar Kulkarni |
Internet of Things |
National |
978-93-91322-83-0 |
Alliance & Co., Nagpur |
|
4 |
Dr Liladhar Rewatkar, Dr Ujwal Lanjewar & Dr Mahendra Dhore |
Basics of Python |
National |
978-93-91322-83-0 |
Alliance & Co., Nagpur |
|
5 |
Dr Liladhar Rewatkar, Dr Ujwal Lanjewar & Dr Jageshwar Keche |
Desktop Publishing |
National |
978-93-91322-92-2 |
Alliance & Co., Nagpur |
- Name of the Inventor :Dr Liladhar Rewatkar
- Patent Journal Publication Date :3rd June 2022
- Application No. :202221028424 A
- Title of the Invention :Systematic Approach to improve bug life cycle using agile methodology for quality software
- Patent Status : Published
- Name of the Inventor : Dr Liladhar Rewatkar
- Patent Journal Publication Date :9th February 2023
- Application No. :202441033647 A
- Title of the Invention :An e-Authentication system based on Artificial Intelligence, Big Data, and cybersecurity using QR codes and OTPs.
- Patent Status : Published
About Programs Fees
The cost of the program at Prerna College includes tuition fees, examination fees, and other academic charges as prescribed by the institution and affiliated university.
Tuition Fees: Competitive and student-friendly fee structure
Examination & Enrollment Fees: As per RTM Nagpur University norms
Additional Charges: Laboratory, library, and extracurricular activities
Apply Now
Take the next step toward building a successful career in Computer Science. Our M.Sc. Computer Science program is designed to prepare students for high-demand roles in software development, artificial intelligence, cybersecurity, data science, and research.Eligible candidates can apply by completing the application form and submitting the required academic documents. Early application is encouraged as seats are limited.Join a future-focused academic environment with experienced faculty, modern facilities, and industry-aligned curriculum. Apply now and begin your journey toward becoming a skilled computer science professional.
Admissions Requirements
1. Academic Qualifications
- Completed application form
- Academic transcripts & certificates
- Valid government ID or passport
- Recent passport-sized photographs
- Caste/Category Certificate as per Maharashtra norms
- ABC ID / APPAR
2. Application Deadlines
- As Per RTM Nagpur University notification