Masters in Data Science - MS(DS)
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 |
- MS Level
- Evening Shift
- 4 Semester(s)
- 2 Years Year(s)
- 30 Cr.
- Master / BS degree (16 years of education) in following domains (Information Technology, Software Engineering, Data Science, Artificial Intelligence, Computer Engineering, Electrical Engineering, Statistics or Mathematics, Computer Science or any computing related discipline) are eligible to apply from HEC recognized University with minimum 2.5 out of 4.0 CGPA or Grade ‘B’ under semester system or 50 % marks under annual system (45% marks under annual system for Urdu / English programs only).
- Selection in the respective program will be subject to availability of seats, merit based on academic qualification, valid GRE International / NTS / NUML devised GAT- General Score.
- Applicants with valid GRE International/GAT-General from NTS will have to pass written/subjective portion of NUML GAT-G (as per schedule of respective Faculties) to secure admission.