MS Data Science | ||||
Semester 1 | ||||
DS1-701 | Statistical and Mathematical Methods for Data Science | 3(3-0) | ||
DS1-702 | Tools and Techniques in Data Science | 2(2-0) | ||
DS1-702-P | Tools and Techniques in Data Science LAB | 1(0-1) | ||
DS3-701 | Elective I | 3(3-0) | ||
Semester 2 | ||||
DS1-703 | Machine Learning | 3(3-0) | ||
DS2-701 | Specialization-Elective I | 3(3-0) | ||
DS2-702 | Specialization-Elective II | 3(3-0) | ||
Semester 3 | ||||
DS3-702 | Elective II | 3(3-0) | ||
DS1-705 | Thesis-I / Elective Course | 3(3-0) | ||
Semester 4 | ||||
DS3-703 | Elective II | 3(3-0) | ||
DS1-705 | Thesis-I / Elective Course | 3(3-0) | ||
List of Electives | ||||
Course Code | Title of Course | Credit Hour | ||
---|---|---|---|---|
DS3-702 | Bayesian Data Analysis | 3(3-0) | ||
DS3-703 | Optimization Methods for Data Science and Machine Learning | 3(3-0) | ||
CS2-704 | Advanced Computer Vision | 3(3-0) | ||
CS1-706 | Theory of Programming Languages | 3(3-0) | ||
CS1-703 | Advanced Operating Systems | 3(3-0) | ||
CS1-705 | Advanced Computer Architecture | 3(3-0) | ||
CS1-701 | Theory of Automata | 3(3-0) | ||
DS3-704 | Data Visualization | 3(3-0) | ||
CS1-702 | Advanced Analysis of Algorithms | 3(3-0) | ||
DS3-705 | Time Series Analysis and Prediction | 3(3-0) | ||
DS3-706 | Social Network Analysis | 3(3-0) | ||
DS3-707 | Scientific Computing in Finance | 3(3-0) | ||
DS3-708 | Computational Genomics | 3(3-0) | ||
DS3-709 | Cloud Computing | 3(3-0) | ||
DS3-710 | Bioinformatics | 3(3-0) | ||
DS3-711 | Probabilistic Graphical Models | 3(3-0) | ||
DS3-712 | High Performance Computing | 3(3-0) | ||
DS3-713 | Inference & Representation | 3(3-0) | ||
DS3-714 | Deep Reinforcement Learning | 3(3-0) | ||
DS3-715 | Distributed Machine Learning in Apache Spark | 3(3-0) | ||
DS3-716 | Distributed Data Processing and Machine Learning | 3(3-0) | ||
DS3-717 | Research Methodology | 3(3-0) |