Programme Highlights
In addition to the essential competencies a student of BCA will acquire, this specialization will focus on developing skills and mastering techniques related to data science. These include programming languages such as Python and R, statistical analysis, data analysis, data visualization, machine learning and data ethics and privacy.
Semester I | Semester II | |||||
# | Course Title | Credits | # | Course Title | Credits | |
1 | Programming I [C] | 3 | 1 | Programming II [Python] | 3 | |
2 | Computer Organization and Architecture | 3 | 2 | Database Management Systems | 3 | |
3 | Discrete Mathematics | 3 | 3 | Probability and Statistics | 3 | |
4 | UCC 1 | 4 | 4 | UCC 4 | 4 | |
5 | UCC 2 | 4 | 5 | UCC 5 | 4 | |
6 | UCC 3 | 4 | 6 | UCC 6 | 4 | |
Semester Credits | 21 | Semester Credits | 21 | |||
Major Core Credits | 9 | Major Core Credits | 9 | |||
University Core Credits | 12 | University Core Credits | 12 | |||
Minor Credits | 0 | Minor Credits | 0 | |||
Accumulated Credits | Accumulated Credits | |||||
Major Core | 9 | Major Core | 18 | |||
University Core | 12 | University Core | 24 | |||
Minor | 0 | Minor | 0 | |||
Total | 21 | Total | 42 | |||
Semester III [Data Science] | ||
# | Course Title | Credits |
1 | Programming III [Java] | 3 |
2 | Introduction to Data Science | 3 |
3 | Linear Algebra | 3 |
4 | UCC 7 | 4 |
5 | UCC 8 | 4 |
6 | UCC 9 | 4 |
7 | Minor Course 1 | 4 |
Semester Credits | 25 | |
Major Core Credits | 9 | |
University Core Credits | 12 | |
Minor Credits | 4 | |
Accumulated Credits | ||
Major Core | 27 | |
University Core | 36 | |
Minor | 4 | |
Total | 67 | |
Semester IV [Data Science] | ||
# | Course Title | Credits |
1 | Data Structures and Algorithms | 3 |
2 | Operating Systems | 3 |
3 | Statistical Inference using R | 3 |
4 | UCC 10 | 4 |
5 | UCC 11 | 4 |
6 | UCC 12 | 4 |
7 | Minor Course 2 | 4 |
Semester Credits | 25 | |
Major Core Credits | 9 | |
University Core Credits | 12 | |
Minor Credits | 4 | |
Accumulated Credits | ||
Major Core | 36 | |
University Core | 48 | |
Minor | 8 | |
Total | 92 | |
Semester V [Data Science] | ||
Type | Course Title | Credits |
1 | Data visualization | 3 |
2 | Data Ethics and Privacy | 3 |
3 | Generative Artificial Intelligence | 3 |
4 | Cloud Computing | 3 |
5 | Minor Course 3 | 4 |
6 | Minor Course 4 | 4 |
Semester Credits | 20 | |
Major Core Credits | 12 | |
University Core Credits | 0 | |
Minor Credits | 8 | |
Accumulated Credits | ||
Major Core | 48 | |
University Core | 48 | |
Minor | 16 | |
Total | 112 | |
Semester VI [Data Science] | ||
# | Course Title | Credits |
1 | Data Mining | 3 |
2 | Machine Learning | 3 |
3 | Advanced Statistical Methods | 3 |
4 | Project | 3 |
5 | Minor Course 5 | 4 |
6 | Minor Course 6 | 4 |
Semester Credits | 20 | |
Major Core Credits | 12 | |
University Core Credits | 0 | |
Minor Credits | 8 | |
Accumulated Credits | ||
Major Core | 60 | |
University Core | 48 | |
Minor | 24 | |
Total | 132 | |
Semester VII [Data Science] | ||
# | Course Title | Credits |
1 | Big Data Systems | 3 |
2 | Deep Learning | 3 |
3 | Multi-media Data Analytics | 3 |
5 | Minor Course 7 | 4 |
6 | Minor Course 8 | 4 |
Semester Credits | 17 | |
Major Core Credits | 9 | |
University Core Credits | 0 | |
Minor Credits | 8 | |
Accumulated Credits | ||
Major Core | 69 | |
University Core | 48 | |
Minor | 32 | |
Total | 149 | |
Semester VIII [Data Science] | ||
# | Course Title | Credits |
1 | Real Time Analytics | 3 |
2 | Capstone Project | 8 |
Semester Credits | 11 | |
Major Core Credits | 11 | |
University Core Credits | 0 | |
Minor Credits | 0 | |
Accumulated Credits | ||
Major Core | 80 | |
University Core | 48 | |
Minor | 32 | |
Total | 160 | |