Introduction
The B.Sc. in Data Science and Engineering program at State
University of Bangladesh is designed to prepare skilled professionals capable
of transforming data into meaningful insights for decision-making in today’s
knowledge-driven world. As a leading institution committed to academic
excellence, innovation, and industry-oriented education, the university
emphasizes modern teaching practices, research engagement and the development
of future-ready graduates. The program addresses the growing demand for data specialists
across diverse sectors including information technology, finance and banking,
healthcare, telecommunications, manufacturing, e-commerce, business analytics,
government agencies, research organizations, and artificial intelligence–based
industries.
The program offers a comprehensive curriculum that integrates
computer science, statistics, artificial intelligence, business intelligence
and data analytics. Courses are conducted using modern technologies with strong
emphasis on hands-on training, practical projects, and real-world applications.
Students develop a solid foundation in programming, data structures, databases,
machine learning, big data technologies and data visualization while gaining
opportunities to study advanced topics such as deep learning, natural language
processing, and intelligent data systems.
Graduates of the program are well prepared for careers as Data Scientists, Machine Learning Engineers, Data Analysts, AI Engineers, Business Intelligence Analysts, Data Engineers, Bioinformatics Analysts, Healthcare Analysts and Research Professionals. With a balanced combination of theoretical knowledge, practical training, and project-based learning, the program ensures high-quality education aligned with the rapidly evolving data-driven technological landscape.
Admission Requirements:
For
students under National Curriculum:
Minimum GPA 2.50 in both SSC and HSC or equivalent.
Admission Requirements for
students from English Medium:
O-Level:
at least 5 courses
A-Level:
at least 2 courses
In the above two examinations at least four subjects among seven
subjects must have B grade or GPA 4.0 (out of 5.0) and in remaining three
subjects must have C grade or GPA 3.5 (out of 5)
Duration of the program: 4
years
Total
minimum credit requirement to complete the program: 140 credits
Total
class weeks in a semester: 15
Minimum
CGPA requirements for graduation: 2.5
Maximum
academic years of completion: 8 (Minimum time required to
complete the program is 4 years. A student must complete the program within 8
years.)
|
Category |
No.
of Courses |
Total
Credits |
% |
|
Language
Courses |
2T |
6 |
4.29 |
|
General
Education Courses |
4T |
12 |
8.57 |
|
Basic
Science and Engineering |
5T |
15 |
10.71 |
|
Mathematics
and Basic Statistics |
4T |
12 |
8.57 |
|
Core
courses |
21T+8L |
71 |
50.71 |
|
Elective
Courses |
6T |
18 |
12.86 |
|
Internship
/Capstone Project/Thesis |
2P |
6 |
4.29 |
|
Total |
42T, 8L, 2P |
140 |
100 |
Course List
|
Course Code |
Course Title |
Credit |
|
DSE-0231-1011 |
Bangla Language and Literature |
3 |
|
DSE-0231-1013 |
Basic English Skills |
3 |
|
DSE-0231-1031 |
Advanced Communicative English |
3 |
|
General Education |
||
|
Social Science and Humanities
(Any 4 Courses) |
||
|
Course Code |
Course Title |
Credit |
|
DSE-0222-1023 |
Bangladesh
Studies: History and Culture |
3 |
|
DSE-0314-1025 |
Introduction
to Sociology |
3 |
|
DSE-0223-1027 |
Corporate
and Legal Affairs |
3 |
|
DSE-0213-1029 |
Creative
& Performing Arts |
3 |
|
DSE-0411-2013 |
Financial
and Managerial Accounting |
3 |
|
DSE-0412-2015 |
Industrial
Engineering & Operations Management |
3 |
|
DSE-0311-3011 |
Economics
for Data Scientists |
3 |
|
DSE-0411-3013 |
Digital
Marketing |
3 |
|
DSE-0232-4001 |
Art
of Presentation and Technical Report Writing |
3 |
|
DSE-003-4003 |
Life
Skills for Success |
3 |
|
Basic
Science and Engineering (Any 5 Theory Courses) |
||
|
Course Code |
Course Title |
Credit |
|
DSE-0533-1021 |
Physics |
3 |
|
DSE-0711-2009 |
Chemistry |
3 |
|
DSE-0511-2011 |
Biology |
3 |
|
DSE-0613-1005 |
Introduction to Information Technology |
3 |
|
DSE-0613-1007 |
Introduction to Programming Language |
3 |
|
DSE-0714-2017 |
Electronic Devices and Circuits |
3 |
|
DSE-0714-2019 |
Digital
Logic Design |
3 |
|
Mathematics
and Basic Statistics (4 Theory Course) |
|
|
|
Course Code |
Course Title |
Credit |
|
DSE-0541-1017 |
Calculus |
3 |
|
DSE-0541-2007 |
Linear Algebra and Vector Analysis |
3 |
|
DSE-0542-1009 |
Statistical Methods |
3 |
|
DSE-0542-1019 |
Introduction to Probability |
3 |
|
Data
Science Core Courses (21 Theory Courses + 8 Lab Courses) |
||
|
Course
Title |
Credit |
|
|
DSE-0619-1001 |
Introduction to Data
Science |
3 |
|
DSE-0613-1003 |
Discrete Mathematics |
3 |
|
DSE-0619-2015 |
Data Analysis with Python |
3 |
|
DSE-0613-2016 |
Object Oriented
Programming Language Lab |
1 |
|
DSE-0619-2001 |
Sampling Methodology |
3 |
|
DSE-0542-2004 |
Introduction to SPSS Lab |
1 |
|
DSE-0619-2005 |
Data Analysis with R |
3 |
|
DSE-0542-2021 |
Statistical Inference |
3 |
|
DSE-0611-2023 |
Time Series Analysis and
Forecasting |
3 |
|
DSE-0613-2025 |
Data Structure and
Algorithm |
3 |
|
DSE-0613-2026 |
Data Structure and
Algorithm Lab |
1 |
|
DSE-0612-2027 |
Database Management
System |
3 |
|
DSE-0613-2028 |
Database Management
System Lab |
1 |
|
DSE-0613-2029 |
Project and Service
Management |
3 |
|
DSE-0619-2031 |
Data Warehousing and Data
Mining |
3 |
|
DSE-0619-3001 |
Exploratory Data Analysis |
3 |
|
DSE-0619-3003 |
Big Data Analysis |
3 |
|
DSE-0613-3005 |
Strategic Planning,
Development & Implementation |
3 |
|
DSE-0613-3007 |
System Analysis and
Software Engineering |
3 |
|
DSE-0613-3008 |
System Analysis and
Software Engineering Lab |
1 |
|
DSE-0613-3009 |
Artificial Intelligence |
3 |
|
DSE-0613-3010 |
Artificial Intelligence
Lab |
1 |
|
DSE-0619-3015 |
Machine Learning for Data
Science |
3 |
|
DSE-0619-3016 |
Machine Learning for Data
Science Lab |
1 |
|
DSE-0619-3017 |
Data Visualization
Techniques |
3 |
|
DSE-0619-3018 |
Data Visualization Techniques
Lab |
1 |
|
DSE-0619-3019 |
Regression and Multivariate Analysis |
3 |
|
DSE-0542-3021 |
Environmental Statistics |
3 |
|
DSE-0619-4005 |
Categorical Data Analysis |
3 |
|
Capstone
Project/Thesis (the topic must be chosen related to the Major/Specialization
field) |
||
|
Course Code |
Course Title |
Credit |
|
DSE-0619-4091 |
Internship/Capstone Project/Thesis
Part I |
3 |
|
DSE-4619-4092 |
Internship/Capstone Project/Thesis
Part II |
3 |
|
Elective Courses
(have to choose any 6 courses. To obtain Major/Specialization, minimum 4
courses have to take from that related field) |
|||
|
Course Code |
Course Title |
Credit |
Major / Specialization
Field |
|
DSE-0413-5001 |
Business Intelligence |
3 |
Management |
|
DSE-0413-5003 |
Business Analytics |
3 |
Management |
|
DSE-0613-5005 |
E-commerce and Web Engineering |
3 |
Management |
|
DSE-0619-5007 |
Big Data Analytics on Cloud |
3 |
Data Engineering |
|
DSE-0414-5009 |
Marketing Analysis |
3 |
Management |
|
DSE-0619-5011 |
Data Privacy and Ethics |
3 |
Management |
|
DSE-0223-5013 |
Professional Ethics & Environment Protection |
3 |
Management |
|
DSE-0542-5015 |
Biostatistics and Epidemiology |
3 |
Data Engineering |
|
DSE-0613-5017 |
Operations Research |
3 |
Data Engineering |
|
DSE-0613-5019 |
Artificial Neural Network and Deep Learning |
3 |
Artificial Intelligence |
|
DSE-0613-5021 |
Natural Language Processing |
3 |
Artificial Intelligence |
|
DSE-0613-5023 |
Human Computer Interaction |
3 |
Artificial Intelligence |
|
DSE-0619-5025 |
Pattern Recognition and Analysis |
3 |
Artificial Intelligence |
|
DSE-0619-5027 |
Recommender System |
3 |
Artificial Intelligence |
|
DSE-0619-5029 |
Machine Learning Operations |
3 |
Artificial Intelligence |
|
DSE-0619-5031 |
Reinforcement Learning |
3 |
Artificial Intelligence |
|
DSE-0619-5033 |
Deep Learning for Computer Vision |
3 |
Artificial Intelligence |
|
DSE-0619-5035 |
Data Wrangling and Predictive Analytics using Python |
3 |
Artificial Intelligence |
|
DSE-0619-5037 |
Demographic Method and Population Analysis |
3 |
Data Engineering |
|
DSE-0542-5039 |
Actuarial Statistics |
3 |
Data Engineering |
|
DSE-0619-5041 |
Quality Control and Operation Research |
3 |
Data Engineering |
|
DSE-0619-5043 |
Analysis of Variance & Experimental Design |
3 |
Data Engineering |
|
DSE-0619-5049 |
Advanced Big Data Analysis |
3 |
Data Engineering |
|
DSE-0619-5051 |
Dimensionality Reduction and Model Validation Techniques |
3 |
Data Engineering |
|
DSE-0619-5053 |
Genomic Data Analysis |
3 |
Data Engineering |
|
DSE-0619-5055 |
Spatial Data Science |
3 |
Data Engineering |
|
DSE-0619-5057 |
Social Media Analytics using R |
3 |
Data Engineering |
|
DSE-0619-5059 |
Data Analysis Using SQL |
3 |
Data Engineering |
|
DSE-0612-5061 |
NoSQL Databases |
3 |
Data Engineering |
|
DSE-0613-5063 |
Research Methodology |
3 |
Data Engineering |
|
DSE-0542-5065 |
Advanced Statistical Methods |
3 |
Data Engineering |
|
DSE-0619-5067 |
Real Time Data Processing |
3 |
Data Engineering |
|
DSE-0613-5069 |
Design and Analysis of Algorithms |
3 |
Data Engineering |
|
DSE-0311-5071 |
Applied Econometrics |
3 |
Management |
|
DSE-0619-5073 |
Digital Forensics |
3 |
Data Security |
|
DSE-0613-5075 |
Network Security |
3 |
Data Security |
|
DSE-0619-5077 |
Block-Chain and Crypto Currency |
3 |
Data Security |
|
DSE-0613-5079 |
Computer and Cyber Security |
3 |
Data Security, Computer Engineering |
|
DSE-0619-5081 |
Data Science with Robotics and IoT |
3 |
Computer Engineering |
|
DSE-0619-5083 |
Metaverse Fundamentals |
3 |
Computer Engineering |
|
DSE-0619-5085 |
Virtual Reality, Augmented Reality & Extended Reality
Fundamentals |
3 |
Computer Engineering |
|
DSE-0619-5099 |
Contemporary Course on Data Science |
3 |
Data Engineering |
Semester-wise Distribution of Courses
|
Semester-I |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0619-1001 |
Introduction to Data Science |
3 |
|
|
DSE-0231-1013 |
Basic English Skills |
3 |
|
|
DSE-0611-1001 |
Introduction to Information Technology |
3 |
|
|
DSE-0222-1023 |
Bangladesh Studies: History and Culture |
3 |
|
|
DSE-0223-0599 |
Ethics and Aesthetics |
0 |
|
|
|
|
|
|
|
Total Credit |
|
12 |
|
|
Semester II |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0613-1003 |
Discrete Mathematics |
3 |
|
|
DSE-0613-1003 |
Introduction to Programming Language |
3 |
|
|
DSE-0592-1009 |
Statistical Methods |
3 |
|
|
DSE-0533-1021 |
Physics |
3 |
|
|
|
|
|
|
|
Total Credit |
|
12 |
|
|
Semester-III |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0619-2015 |
Data Analysis with Python |
3 |
|
|
DSE-0592-1019 |
Introduction to Probability |
3 |
|
|
DSE-0231-1031 |
Advanced Communicative English |
3 |
|
|
DSE-0591-1017 |
Calculus |
3 |
|
|
|
|
|
|
|
Total Credit |
|
12 |
|
|
Semester-IV |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0613-2016 |
Object Oriented Programming Language Lab |
1 |
|
|
DSE-0619-2001 |
Sampling Methodology |
3 |
|
|
DSE-0711-2009 |
Chemistry |
3 |
|
|
DSE-0619-2007 |
Data Analysis with R |
3 |
|
|
DSE-0542-2004 |
Introduction to SPSS Lab |
1 |
|
|
|
|
|
|
|
Total Credit |
|
11 |
|
|
|
|
|
|
|
Semester-V |
|||
|
DSE-0592-2021 |
Statistical Inference |
3 |
|
|
DSE-0613-2025 |
Data Structure and Algorithm |
3 |
|
|
DSE-0613-2026 |
Data Structure and Algorithm Lab |
1 |
|
|
DSE-0714-1019 |
Digital Logic Design |
3 |
|
|
DSE-0411-2013 |
Financial and Managerial Accounting |
3 |
|
|
|
|
|
|
|
Total Credit |
|
13 |
|
|
Semester-VI |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0612-2027 |
Database Management System |
3 |
|
|
DSE-0613-2028 |
Database Management System Lab |
1 |
|
|
DSE-0613-3008 |
System Analysis and Software Engineering Lab |
1 |
|
|
DSE-0613-3007 |
System Analysis and Software Engineering |
3 |
|
|
DSE-0611-2023 |
Time Series Analysis and Forecasting |
3 |
|
|
|
|
|
|
|
Total Credit |
|
11 |
|
|
Semester-VII |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0619-3001 |
Exploratory Data Analysis |
3 |
|
|
DSE-0613-2029 |
Project and Service Management |
3 |
|
|
DSE-0619-3019 |
Regression and
Multivariate Analysis |
3 |
|
|
DSE-0619-2031 |
Data Warehousing and Data Mining |
3 |
|
|
|
|
|
|
|
Total Credit |
|
12 |
|
|
Semester-VIII |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0619-3003 |
Big Data Analysis |
3 |
|
|
DSE-0613-3009 |
Artificial Intelligence |
3 |
|
|
DSE-0613-3010 |
Artificial Intelligence Lab |
1 |
|
|
DSE-0411-3013 |
Digital Marketing |
3 |
|
|
DSE-0613-3005 |
Strategic Planning, Development & Implementation |
3 |
|
|
|
|
|
|
|
Total Credit |
|
13 |
|
|
|
|
|
|
|
|
|
|
|
|
Semester-IX |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0619-3015 |
Machine Learning for Data Science |
3 |
|
|
DSE-0619-3016 |
Machine Learning for Data Science Lab |
1 |
|
|
DSE-0619-3017 |
Data Visualization Techniques |
3 |
|
|
DSE-0619-3018 |
Data Visualization Techniques Lab |
1 |
|
|
DSE-0592-3021 |
Environmental Statistics |
3 |
|
|
DSE-0232-4001 |
Art of Presentation and Technical Report Writing |
3 |
|
|
|
|
|
|
|
Total Credit |
|
14 |
|
|
Semester-X |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0619-4005 |
Categorical Data Analysis |
3 |
|
|
DSE-0311-3011 |
Economics for Data Scientists |
3 |
|
|
DSE-* |
Elective 01 |
3 |
|
|
DSE-* |
Elective 02 |
3 |
|
|
|
|
|
|
|
Total Credit |
|
12 |
|
|
Semester-XI |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0619-4091 |
Internship/Capstone Project/Thesis Part I |
3 |
|
|
DSE-* |
Elective 03 |
3 |
|
|
DSE-* |
Elective 04 |
3 |
|
|
|
|
|
|
|
Total Credit |
|
9 |
|
|
Semester-XII |
|||
|
Course Code |
Course Title |
Credits |
|
|
DSE-0619-4092 |
Capstone Project/Thesis Part II |
3 |
|
|
DSE-* |
Elective 05 |
3 |
|
|
DSE-* |
Elective 06 |
3 |
|
|
|
|
|
|
|
Total Credit |
|
9 |
|
|
Grand Total Credit = |
140 |
||
|
|
|
||
* Course code and course title will
be used according to the elective courses offered/enrolled in the semester
Tuition Fees
| Particulars | Amount |
|---|---|
| B.Sc. in Data Science and Engineering | 4,96,000 TK |
