FAST-MSDS-Roadmap.md

FAST - National University, Lahore.

Program Info

This program equips students to transform data into actionable insights that enable one to make complex business decisions. Students will able to process large and complex data sets through computational, statistical, and machine learning techniques. This program will provide exposure to the latest trends and technologies in this field. Thus, producing the man power to fuel national and international emerging market of data science products.

** FAST MS(DS) Roadmap**
Semester 1 Courses	Credit Hours
Applied Programming	NA
Core Course–I	3
Core Course–II	3
General Elective-I	3
Semester 2 Courses	Credit Hours
Core Course–III	3
Core Course–IV	3
Elective-I	3
Research Methodology	1
Semester 2 Courses	Credit Hours
MS Thesis-I/ MS Project-I	3
General Elective-II	3
Semester 2 Courses	Credit Hours
Thesis-II/ MS Project-II	3
Elective-II	3

Core Courses for MS (Data Science)
At least four courses must be taken from the following
CS5xx Introduction to Data science: Tools and Techniques
CS5xx Big Data Analytics / Mining Massive Datasets
CS5xx Statistical and mathematical methods for data science
CS5xx Machine Learning for Data Science

Elective Courses for MS (Data Science)
At least four courses must be taken from the following
CS553 Applied Image Processing
CS535 Natural language processing
CS579 Cloud computing
CS559 High performance computing
CS5xx Deep Learning
CS5xx Scientific Computing in Finance
CS5xx Social network analysise
CS5xx Advanced Computer Vision
CS5xx Data Visualization
CS5xx Bayesian Data Analysis
CS5xx Languages in Text Mining
CS5xx Probabilistic Graphical Models
CS5xx Bioinformati
CS5xx Time series prediction
CS5xx Distributed Machine Learning in Apache Spark