I. General Education
A. Language (6 Credits)
- ENG 1011 English – I
- ENG 1013 English – II
B. Sciences (7 Credits)
- PHY 2105 Physics
- PHY 2106 Physics Laboratory
- BIO 3107 Biology
C. Humanities (2 Credits)
- BDS 1201 History of the Emergence of Bangladesh
D. Humanities – Optional (9 Credits, select any three)
- SOC 2102 Society, Environment and Computing Ethics
- TEC 2499 Technology Entrepreneurship
- ECO 4101 Economics
- PMG 4101 Project Management
- ACT 2111 Financial and Managerial Accounting
- SOC 4101 Introduction to Sociology
- IPE 3401 Industrial and Operational Management
- BAN 2505 Bangla
- URC 1101 Life Skills for Success
- SOC 4301 Introduction to Anthropology
- FLN 1101 Introduction to a Foreign Language (Name of the Language)
- SWL 4101 Software and Law
- MKT 4313 Digital Marketing
- PSY 2101 Psychology
II. Mathematics
- MATH 1151 Fundamental Calculus
- MATH 1153 Advanced Calculus
- MATH 2107 Linear Algebra
- MATH 2205 Probability and Statistics
III. Core Courses
A. Programming (8 Credits)
- DS 1501 Programming for Data Science
- DS 1502 Programming for Data Science Laboratory
- DS 1115 Object Oriented Programming for Data Science
- DS 1116 Object Oriented Programming for Data Science Laboratory
B. Foundations in Statistics (9 Credits)
- DS 3101 Advanced Probability and Statistics
- DS 4523 Simulation and Modelling
- DS 2251 Bayesian Statistics
C. Foundations in Computing (15 Credits)
- CSE 2213 Discrete Mathematics
- CSE 2215 Data Structures and Algorithms – I
- CSE 2216 Data Structures and Algorithms – I Laboratory
- CSE 2217 Data Structures and Algorithms – II
- CSE 2218 Data Structures and Algorithms – II Laboratory
- CSE 3521 Database Management Systems
- CSE 3522 Database Management Systems Laboratory
D. Systems Optional (6 Credits – select any two)
- CSE 4511 Operating Systems and Scripting
- CSE 3411 System Analysis and Design
- CSE 3421 Software Engineering
- CSE 4197 Introduction to Internet of Things (IoT)
- CSE 4587 Cloud Computing
- CSE 4531 Computer Security
E. Data Science and Analytics (34 Credits)
- DS 1101 Fundamentals of Data Science
- DS 3885 Data Wrangling
- DS 4217 Data Privacy and Ethics
- DS 3521 Data Visualization
- DS 3522 Data Visualization Laboratory
- DS 4891 Data Analytics
- DS 4892 Data Analytics Laboratory
- DS 4889 Machine Learning
- DS 4817 Big Data
- DS 4211 Deep Learning
- DS 4491 Machine Learning Systems Design
- DS 3881 Regression and Time Series Analysis
- DS 3120 Technical Report Writing and Presentation
IV. Option – I Advanced Data Science and Computing (12 Credits – select any four)
V. Option – II Application Area (12 Credits – select any four)
VI. Capstone Project – 6 Credits
- DS 4000A Capstone Project – I
- DS 4000B Capstone Project – II
- DS 4000C Capstone Project – III
Option – I Courses (Advanced Data Science and Computing)
- DS 4213 Natural Language Processing
- DS 4215 Social Media Analytics
- DS 4219 Game Theory
- DS 4221 Complex Systems
- DS 4223 Recommender Systems
- DS 4225 Probabilistic Graphical Models
- DS 4227 Mathematical Optimization
- DS 4229 Data Warehousing
- CSE 4337 Robotics
- CSE 3811 Artificial Intelligence
- DS 4821 Generative Machine Learning
- DS 4823 Reinforcement Learning
- DS 4825 Deep Learning for Computer Vision
- DS 4921 Special Topic – I
Option – II Courses (Application Area)
- DS 4111 Genomic Data Analysis
- DS 4113 Spatial Analytics
- DS 4115 Marketing Analytics
- DS 4117 Computational Finance
- DS 4119 Health Informatics
- DS 4121 Introduction to Actuarial Science
- DS 4123 Human Computer Interaction
- DS 4125 Medical Image and Signal Processing
- DS 4127 Computational Epidemiology
- DS 4129 Remote Sensing of Environment
- DS 4131 Precision Agriculture
- DS 4923 Special Topic – II
Summary of the Curriculum
# | Group | Theory | Lab | Project | Credits |
---|---|---|---|---|---|
1 | GED – Language | 2 | 6.0 | ||
2 | GED – Science | 2 | 1 | 7.0 | |
3 | GED – Humanities | 4 | 11.0 | ||
4 | Mathematics | 4 | 12.0 | ||
5 | Core Courses – Programming | 2 | 2 | 8.0 | |
6 | Core Courses – Foundations in Statistics | 3 | 9.0 | ||
7 | Core Courses – Foundations in Computing | 4 | 3 | 15.0 | |
8 | Core Courses – Systems | 2 | 6.0 | ||
9 | Core Courses – Data Science | 11 | 2 | 34.0 | |
10 | Option – I | 4 | 12.0 | ||
11 | Option – II | 4 | 12.0 | ||
12 | Capstone Project | 3 | 6.0 | ||
# | Total | 42 | 8 | 3 | 138.0 |