Masters in Data Science - MS(DS) is a 2-year program, that lays a strong foundation of the students in core sub-domains of data science.
COURSES
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Course types |
Cumulative Credits |
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Program Core courses (3) |
9 |
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Specialization Requirement Courses (2) |
6 |
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Electives (3) |
9 |
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Thesis |
6 |
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a. Statistical and Mathematical Methods For Data Science (3) |
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b. Tools and Techniques in Data Science (2+1) |
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c. Machine Learning (3) |
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Proposed 3: Electives Courses (Further Courses may be added as per requirements). |
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Sr. No. |
Course Title |
Credit Hours |
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1 |
Research Methodology |
3 |
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2 |
Big Data Analytics |
3 |
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3 |
Deep Learning |
3 |
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4 |
Natural Language Processing |
3 |
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5 |
Distributed Data Processing |
3 |
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6 |
Advanced Computer Vision |
3 |
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7 |
Algorithmic trading |
3 |
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8 |
Bayesian Data Analysis |
3 |
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9 |
Distributed Data Processing and Machine Learning |
3 |
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10 |
Bioinformatics |
3 |
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12 |
Cloud computing |
3 |
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13 |
Computational Genomics |
3 |
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14 |
Data Visualization |
3 |
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15 |
Time series Analysis and Prediction |
3 |
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16 |
Deep Reinforcement Learning |
3 |
| Code | Name | Credit Hours |
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| No Course is available | ||