- Faculty
School of Social Sciences
- Department
Department of Data Sciences And Analytics
- Campus
Gnanagangothri Campus
- Engagement Mode
Full Time
- Study
2 Years
Overview
The M.Sc. Data Sciences & Analytics programme is a future-ready postgraduate degree designed to develop skilled data professionals capable of transforming complex data into strategic insights. The programme integrates advanced mathematics, statistics, machine learning, artificial intelligence, big data, and cloud technologies with strong practical training.
Students gain expertise across the complete data lifecycle — from data acquisition and pre processing to modelling, visualization, and deployment of intelligent solutions. With a strong focus on research, innovation, and industry-oriented projects, the programme prepares graduates for impactful careers as Data Scientists, AI Specialists, Business Analysts, and Analytics Consultants.
This programme shapes analytical thinkers, ethical AI practitioners, and next-generation data leaders for the digital economy.
Program Objectives
The M.Sc. Data Sciences & Analytics programme is designed to cultivate next-generation data leaders who can transform complex data into strategic intelligence and drive innovation across industries.
- Build Analytical Thinkers
Develop strong mathematical, statistical, and computational foundations to enable students to solve complex real-world problems using data-driven approaches. - Develop Advanced AI & Machine Learning Expertise
Equip students with cutting-edge knowledge in machine learning, generative AI, big data technologies, and cloud computing to address emerging technological challenges. - Enable End-to-End Data Mastery
Train students in the complete data lifecycle — from data acquisition and preprocessing to modeling, optimization, visualization, and deployment. - Foster Research and Innovation
Encourage high-quality research, critical thinking, and innovation through advanced analytics, interdisciplinary applications, and project-based learning. - Promote Industry Readiness
Prepare graduates for high-impact roles such as Data Scientist, AI Specialist, Business Analytics Consultant, and Research Analyst through hands-on projects, internships, and real-world case studies. - Encourage Ethical and Responsible AI
Instill a strong commitment to ethical data practices, responsible AI development, privacy preservation, and societal impact. - Strengthen Domain Application Skills
Enable learners to apply analytics in diverse sectors including healthcare, supply chain management, finance, geoinformatics, and smart systems. - Cultivate Leadership & Lifelong Learning
Develop leadership qualities, communication skills, and adaptability to continuously evolve in the rapidly advancing data science ecosystem.
Curriculum Details
| Sl. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) 1 credit = 2 hours |
Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | DSC501A | Advanced Mathematics for Data Science | 3 | 1 | 4 | 100 | |
| 2 | DSC502A | Advanced Statistical Methods | 3 | 2 | 4 | 100 | |
| 3 | DSC503A | Data Base Management System and Advanced SQL | 3 | 2 | 4 | 100 | |
| 4 | DSC511A | Foundations in Programming | 2 | 4 | 4 | 100 | |
| 5 | DSC505A | Applied Econometrics | 3 | 2 | 4 | 100 | |
| 6 | DSL501A | Spreadsheet Analytics | 4 | 2 | 50 | ||
| Total | 14 | 1 | 14 | 22 | 550 | ||
| Total number of contact hours per week | 29 | ||||||
| Sl. | Code | Course Title | Theory (h/W/S) |
Tutorials (h/W/S) |
Practical (h/W/S) 1 credit = 2 hours |
Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | DSC507A | Data acquisition and data Pre-processing |
3 | 0 | 2 | 4 | 100 |
| 2 | DSC508A | Advanced Machine Learning | 3 | 0 | 2 | 4 | 100 |
| 3 | DSC509A | Operations Research and optimization techniques |
3 | 0 | 2 | 4 | 100 |
| 4 | DSC510A | Research writing / Methodology | 3 | 0 | 0 | 3 | 100 |
| 5 | DSE501A | Introduction to Geoinformatics | 2 | 0 | 2 | 3 | 100 |
| 6 | DSE502A | Data Communication and Networking / Business Analytics | 3 | 0 | 0 | ||
| 7 | DSP501A | Project | 0 | 0 | 8 | 4 | 100 |
| Total | 14 | 0 | 12 | 22 | 600 | ||
| Total number of contact hours per week | 26 | ||||||
| Sl. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) 1 credit = 2 hours |
Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | DSC601A | Big Data and Cloud Technologies | 3 | 0 | 2 | 4 | 100 |
| 2 | DSC602A | Applied Multivariate Analysis | 3 | 0 | 2 | 4 | 100 |
| 3 | DSC603A | Data Story telling | 4 | 2 | 100 | ||
| 4 | DSC604A | Generative AI | 1 | 0 | 2 | 2 | 100 |
| 5 | DSE601A | Supply Chain Management and Analytics | 3 | 0 | 2 | 4 | 100 |
| DSE602A | Applied Analytics in Health Care | ||||||
| DSE603A | Applied Geoinformatics | ||||||
| DSE604A | Computer vision | ||||||
| Total | 11 | 0 | 10 | 16 | 600 | ||
| Total number of contact hours per week | 21 | ||||||
| Sl. No. |
Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) 1 credit =2 hours |
Total Credit s |
Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | DSP601A | Project/Internship | 40 | 20 | 100 | ||
| Total | 0 | 0 | 40 | 20 | 100 | ||
| Total number of contact hours per week | 40 | ||||||
Eligibility Criteria
- Graduates with 60% aggregate in a bachelor's degree with Mathematics as one of the subject from a recognized University.
- The candidate mush have been declared pass on or before 31st Aug of the admission year.
- Admission selection process will be based on RUAS AT scores, and CUET-PG scores are also accepted and RUAS AT will be exempted for these candidates.
Structure
Fee Structure 2026–27
| Course | Total Fee Per Year |
|---|---|
| M.Sc(Data Sciences and Analytics) | Rs. 2,50,000 |
Intake
20 Seats
Career Path
M.Sc. in Data Sciences and Analytics opens up a diverse career opportunities such as:
- Data Scientist
- Machine Learning Engineer
- AI Specialist
- Business Intelligence Analyst
- Data Analyst
- Analytics Consultant
- Big Data Engineer
- Cloud Data Engineer
- Research Analyst
- Quantitative Analyst
- Healthcare & Pharma
- Supply Chain & Logistics
- Banking & Financial Services
- E-commerce & Retail
- Geospatial & Smart Systems
- Government & Policy Analytics
Graduates can also pursue doctoral research (Ph.D.), interdisciplinary research careers, or entrepreneurial ventures in AI and data-driven solutions.
Contact
Start your journey with MSRUAS
Ramaiah University of Applied Sciences
Heritage Building, Gnana Gangothri Campus New BEL Road, MSR Nagar, Bengaluru-58
Contact
Phone 080 4536 6616
Mobile +91 80100 04444
ADDRESS
