Introduction
Welcome to the Department of Computer Science and Engineering (CSE) at
the State University of Bangladesh. As an integral part of the School of
Science and Technology, the department is dedicated to excellence in education,
research, and innovation in the field of computing. To cope up with current
data related generation we are offering M.Sc. in Data Science and Machine
Learning program. The department has an assemblage of spacious laboratories for
various purposes such as Machine Learning, Data Analytics, Big Data Processing,
Intelligent Computing, Natural Language Processing, Cloud Computing,
Multimedia, Computing and Communications etc. These laboratories are equipped
with state-of-the-art facilities. Students have to complete both core and elective
courses. Elective courses provide foundation support for the student's specialization
area. Courses are conducted utilizing advanced technology with an emphasis on
hands-on training. Working with excellent experienced and impressive academicians,
a student-to-lecturer ratio of 25:1, and a computer ratio of 1:1, the students
are assured of high-quality education, suited for the evolving era. The program
of M.Sc. in Data Science and Machine Learning is implemented, making full use
of these outstanding capacities and resources.
ADMISSION PROCESS
The
university operates a round the year admission system divided into semesters
i.e. Spring (January-June) and Fall (July-December). The students are
required to fulfill the university admission requirement besides the UGC
guidelines. The admission forms and relevant information can be collected from
the Admission Office. Completed applications together with required documents
should be submitted to the Admission Office as per deadlines. For convenience, the
admission office is also open on Fridays and Saturdays besides the normal
university working hours.
Admission Eligibility
A four-year undergraduate degree in
- CSE/
- Statistics/
- Mathematics/
- Science/
- Engineering/
- Medicine/
- Economics/
- Agriculture/
- Business/
- Social Science
with basic background of Mathematics (minimum one 3-credit course on linear algebra, complex variables and number system), or a three-year undergraduate degree and one-year master’s degree in any of the above mentioned subjects with a minimum CGPA of 2.50 out of 4
CONTACT
E-mail: mdml.cse@sub.edu.bd
Contact No. : 01766663563, 09606782338
Ext. 212
Curriculum
i) Duration of the
program: Years: 1.5 Semesters: 3
(Bi-Semester System)
ii) Total minimum credit
requirement to complete the program: 40 credits
iii) Total class weeks in a
semester: 14
iv) Minimum CGPA requirements
for graduation: 2.5
v) Maximum academic
years of completion: 3 (Minimum time required to complete the program is
1.5 years. A student must complete the program within 3 years.)
vi) Category of Courses:
|
Category |
No. of Courses |
Total Credits |
% |
|
Core
courses |
8 |
24 |
60% |
|
Elective
Courses |
4 |
12 |
30% |
|
Research
Project |
1 |
4 |
10% |
|
Total |
13 |
40 |
100% |
Courses & Credit hours
| Areas | No. of Course | Credit |
|---|---|---|
| Core Courses | 8 | 24 |
| Elective Courses | 4 | 12 |
| Research Project | 1 | 4 |
| Total | 13 | 40 |
Semester wise course details
| Title & Description of Course | Credits | Hours/week |
|---|---|---|
| Core Courses (8 Courses) |
||
| MDS-1001 Programming for Data Science |
3 | |
| MDS-1003 Data Wrangling, Data Visualization and Business Intelligence Tools for Data Analytics |
3 | |
| MDS-1005 Linear Algebra and Statistics for Data Science |
3 | |
| MDS-1007 Applied Regression Analysis and Time Series Forecasting |
3 | |
| MDS-1009 Machine Learning for Data Science |
3 | |
| MDS-1011 Big Data Analysis |
3 | |
| MDS-2023 Database Management System |
3 | |
| MDS-2035 Artificial Intelligence for Data Science |
3 | |
| Elective Courses (Any 4 Courses) |
||
| General Group |
||
| MDS-2001 Research Methodology |
3 | |
| MDS-2005 Econometrics |
3 | |
| MDS-2017 Health Informatics |
3 | |
| MDS-2019 Genomic Data Analysis |
3 | |
| MDS-2029 Environmental Data Analysis |
3 | |
| MDS-2007 Bioinformatics |
3 | |
| MDS-2009 Data Mining And Data Warehousing |
3 | |
| MDS-1013 Spatial Data and Precision Agriculture |
3 | |
| MDS-1015 Deep Learning and Natural Language Processing |
3 | |
| MDS-2011 Advanced Sampling Methods and Statistical Inference |
3 | |
| MDS-2013 Categorical Data Analysis |
3 | |
| MDS-2015 Biostatistics and Epidemiology |
3 | |
| MDS-2021 Multivariate Analysis |
3 | |
| MDS-2031 Reliability Analysis |
3 | |
| MDS-2033 Applied Probability and Simulation Modelling |
3 | |
| MDS-2003 Social Media and Marketing Analysis |
3 | |
| MDS-2025 Decision Analytics |
3 | |
| MDS-2027 Accounting and Finance for Technology Managers |
3 | |
| Research Project |
||
| MDS-5000 Research Project/Thesis |
4 | Minimum hours engaged by per student (112) |
Tuition Fees
| Particulars | Amount |
|---|---|
| M. Sc. in Data Science and Machine Learning | 1,56,700 TK (After 25% Tuition Fee Waiver) |
