Candidate must have completed bachelor's degree in B.A. / BCA / B.Sc. (Statistics or Mathematics or Computer Science) / B.E / B.Tech.
The M.Sc. in Data Science program at CU is an online degree program that is designed to provide candidates with both academic knowledge and practical experience in the rapidly changing field of Data Science. It is designed to provide in-depth and applicable skills in both traditional fields of data engineering and analysis, such as business, finance, industrial, and scientific research, as well as in more contemporary areas, such as social data analysis and big data. Learners are equipped with core knowledge from industry experts and professionals, along with relatable examples, simulations, and practical projects.
| Subjects | Credits |
|---|---|
| SQL Programming | 4 |
| Advanced Database Management Systems | 4 |
| Communication and Soft Skills | 3 |
| Python Programming | 4 |
| Applied Probability and Statistics | 4 |
| Total Credit | 19 |
| Subjects | Credits |
|---|---|
| Calculus and Linear Algebra for Data Scientists | 4 |
| Deep Learning | 4 |
| Data Analysis and Visualization | 4 |
| Machine Learning | 4 |
| Advanced Machine Learning | 4 |
| Total Credit | 20 |
| Subjects | Credits |
|---|---|
| Web Technologies | 4 |
| Optimization | 4 |
| Java Programming | 3 |
| Data Structures and Algorithms | 5 |
| Cloud Native Development | 4 |
| Minor Project (Software Dev) | 2 |
| Total Credit | 22 |
| Subjects | Credits |
|---|---|
| Natural Language Processing | 4 |
| Data Engineering | 4 |
| Data Mining and Warehousing | 4 |
| Applied Business Analytics | 4 |
| Major Project | 4 |
| Total Credit | 20 |
| Master of Science (Data Science) | SEM I | SEM II | SEM III | SEM IV |
| Course Fee (Discounted) | 27,500 | 27,500 | 27,500 | 27,500 |
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Yes, basic coding in Python and R is part of the curriculum, starting from beginner level.
Yes, the course builds foundational skills before advancing to complex topics.
Yes, assignments and projects use real-world datasets and industry problems.
You’ll work with Python, R, SQL, Excel, and Power BI for analytics and visualisation.
Yes, this postgraduate degree is valid for higher education and research options.
By managing time effectively, staying consistent with coursework, and applying concepts through practical projects, learners can excel in the program. Following these tips for success in an Online Data Science Master’s program helps students build strong analytical, programming, and problem-solving skills for data-driven careers.
