Data Science

Bangabandhu Sheikh Mujibur Rahman Digital University, Bangladesh

Faculty of Software and Machine Intelligence

Department of Data Science

(Approved By Academic Council)

Bachelor of Science (B.Sc.) Common Courses

Mathematics: (Total: 12 Credits)

1.     DS 107: Probability and Statistics

2.     CSE 115: Discrete Mathematics and Graph Theory

3.     MATH 209: Engineering Mathematics

4.     MATH 217: Advanced Mathematics

Programming: (18 + 6 = 24 Credits)

1.     PROG 101: Structured Programming Language+ Sessional

2.     PROG 111: Object Oriented Programming Language+ Sessional 

3.     CSE 113: Data Structure and Algorithms+ Sessional 

4.     CSE 201: Database Management System+ Sessional

5.     PROG 211: Android and Web Application Development+ Sessional 

6.     PROG 301: Advanced Programming with Python and Scripting+ Sessional 

Other courses: (24 + 4 = 28 Credits)

1.     SEC 105: Basic Principles of Cyber Security

2.     HIS 109: History of the Emergence of Independent Bangladesh

3.     CSE 203: Operating System and Unix Programming + Sessional

4.     CSE 219: Industrial Revolutions and Emerging Technologies

5.     NEM 481: Computer Networking+ Sessional

6.     CC 483: Cloud Computing+ Sessional 

7.     ENG 407: Technical and Academic Writing+ Sessional 

8.     BIM 417: Business Strategies and Entrepreneurship

Total = 12 + 24 + 28 = 64 Credits; 18 Theory Courses; 10 Sessional Courses.

Data Science Special Courses

19.  DS 103: Practical Data Science + Sessional

20.  DS 115: Techniques of Data Modelling and Experimental Design

21.  DS 117: Data Acquisition and Validation + Sessional

22.  DS 205: Applied Multivariate Analysis + Sessional 

23.  DS 207: Applied Time Series Analysis + Sessional

24.  DS 213: Data Graphics and Visualization with R + Sessional

25.  BIM 317: Business Analytics and Decision Making + Sessional

26.  DS 305: Optimization Theory and Applications

27.  DS 307: Data Warehousing and Mining + Sessional

28.  AI 483: Artificial Intelligence and Machine Learning + Sessional

29.  DS 313: Big Data Acquisition and Analytics + Sessional

30.  AI 317: Deep Learning + Sessional

31.  DS 401: Bayesian Data Analysis + Sessional

32.  DS 411: Data Privacy, Security and Governance

33.  Option I

34.  Option I

35.  Option II + Sessional

36.  Option II + Sessional

37.  DS 300: Capstone Project (extended over level III)

38.  DS 400: Undergraduate Thesis (extended over level IV)

Option I

-       CSE 455: Information Theory

-       BIM 305: IT Project Management

-       BIM 315: Service Management

-       BIM 411: Service Strategy

-       BIM 203: Information System Management

-       NEM 117: Data Communication

Option II

-       SE 205: Software Architecture and Design + Sessional

-       SE 491: Software Engineering + Sessional

-       CSE 117: Computer Organization and Architecture + Sessional

-       DS 451: Database Applications + Sessional

-       DS 455: Regression Analysis + Sessional

-       DS 457: Applied Discrete Data Analysis + Sessional

-       IRE 487: Introduction to IoT + Sessional

-       SE 457: Distributed Database Management System + Sessional

-       AI 459: Natural Language Processing + Sessional

Total: 64 Cr (Common) + 18 (Theory) x 3 + 3 (Capstone Project) + 6 (Project and Thesis) + 13 (Lab) x 1 = 140 Cr 

More Requirements for Gradation:

1.     All students must complete university prescribed soft-skills development program (e.g., Soft-skills development program offered by Wadhwani Foundation) to become eligible for graduation. This is a basic requirement for graduation and shall not be reflected in transcript as a course.

2.     Audit courses:

(a)   Completion of audit course is not a requirement for gradation but shall be shown in the transcript, if completed, without impacting grade calculation.

(b)   A student may take at most two audit courses – one after completion of level 2 and another after completion of level 3.(c)   List of Audit Courses includes (i) IPT 200S: Six Months Industrial and Professional Training (After Completion of Level 2); (ii) IPT 200L: Twelve Months Industrial and Professional Training (After Completion of Level 2); (iii) IPT 300S: Six Months Industrial and Professional Training (After Completion of Level 3); and (iv) IPT 300L: Twelve Months Industrial and Professional Training (After Completion of Level 3).