Structure of MSDS

STRUCTURE OF MSDS PROGRAMME

Core Courses (9 Credit Hours)

Course Code	Title	Credit Hours
DSC7101	Tools and Techniques in Data Science	2-1-3
DSC7102	Statistical and Mathematical Methods for Data Science	3-0-3
DSC7103	Machine Learning	3-0-3
Total		9

*2+1 means 2 hours of lecture + 3 hours of lab work

Compulsory Course (3 Credit Hours)

Course Code	Title	Credit Hours
CC7101	Research Methodology	3-0-3
Total		3

Specialized Courses (6 Credit Hours)

Course Code	Title	Credit Hours
DSS7201	Big Data Analytics	3-0-3
DSS7202	Deep Learning	3-0-3
DSS7203	Natural Language Processing	3-0-3
DSS7204	Distributed Data Processing	3-0-3
Total (Any Two Courses)		6

Core Courses (9 Credit Hours)

Course Code	Title	Credit Hours
DSC7101	Tools and Techniques in Data Science	2-1-3
DSC7102	Statistical and Mathematical Methods for Data Science	3-0-3
DSC7103	Machine Learning	3-0-3
Total		9

*2+1 means 2 hours of lecture + 3 hours of lab work

Compulsory Course (3 Credit Hours)

Course Code	Title	Credit Hours
CC7101	Research Methodology	3-0-3
Total		3

Specialized Courses (6 Credit Hours)

Course Code	Title	Credit Hours
DSS7201	Big Data Analytics	3-0-3
DSS7202	Deep Learning	3-0-3
DSS7203	Natural Language Processing	3-0-3
DSS7204	Distributed Data Processing	3-0-3
Total (Any Two Courses)		6

Elective Courses

Course Code	Title	Credit Hours
CSE7209	Cloud Computing	3-0-3
DSE7201	Data Visualization	3-0-3
DSE7202	Pattern Recognition	3-0-3
DSE7203	Advanced Computer Vision	3-0-3
DSE7204	Advanced Topics in Decision Support Systems	3-0-3
DSE7205	Algorithmic Trading	3-0-3
DSE7206	Bayesian Data Analysis	3-0-3
DSE7207	Bioinformatics	3-0-3
DSE7208	Business Context Modeling	3-0-3
DSE7209	Computational Genomics	3-0-3
DSE7210	Data Science in Cyber Security	3-0-3
DSE7211	Data Science with R	3-0-3
DSE7212	Deep Reinforcement Learning	3-0-3
DSE7213	Graph Analytics for Big Data	3-0-3
DSE7214	High Performance Computing	3-0-3
DSE7215	Implementing Predictive Analysis	3-0-3
DSE7216	Inference & Representation	3-0-3
CSE7212	IoT for Smart Cities and Smart Homes	3-0-3
DSE7217	Mining Massive Datasets	3-0-3
DSE7218	Probabilistic Graphical Models	3-0-3
DSE7219	Python Programming for Data Science	3-0-3
DSE7220	Scientific Computing in Finance	3-0-3
CSE7207	Social Network Analysis	3-0-3
DSE7221	Text Mining	3-0-3
DSE7222	Time Series Analysis and Prediction	3-0-3

Note: The list of elective courses can be extended.

Research Work/Thesis (6 Credit Hours)

Registration in “MS Thesis – I” is allowed provided the student has