Faculty of Engineering and Technology, University of Sindh, Jamshoro
Comprehensive Viva-Voce Examination of PhD (IT) 2021 Batch is scheduled on Thursday February 09 2023
MS/M.Phil Data Science: 2-Year, 4-Semester Program (30 Credit Hours)
The MS/MPhil Data Science program is designed to train students in the rapidly growing field of data science which lies at the intersection of statistical methodologies, computational science, and several wide-ranging application domains. The curriculum is based on core data science courses and technical electives providing opportunities to build knowledge and professional skills in various data science areas that are highly sought after in the current job market. Students will get a comprehensive overview of data science procedures, in addition to statistical methodologies and machine learning techniques for data science. During the program students will gain and build upon theoretical and conceptual foundations of key data science tasks, as well as learn to use data analysis tools to discover hidden useful patterns and relationships in data. The program will equip students to process large and complex data sets through computational, statistical and machine learning techniques, thereby extract knowledge and gain actionable insights from huge amounts of data.
Eligibility:
Pre-requisite: Pre-entry test and interview.
Note: Having passed 1st semester course work with GPA 3.0 or above, MS/M.Phil students are eligible to start research while the 2nd semester coursework is in progress.
Deficiency Courses:
Semester I
|
S.No. |
Course Title |
Cr. Hrs. |
|
1 |
Data Science: Tools & Techniques (Core - I) |
3 (2+1) |
|
2 |
Statistical and Mathematical Methods for Data Science |
3 |
|
3 |
Elective I |
3 |
|
4 |
Elective I |
3 |
|
|
Total |
12 |
Semester II
|
S.No. |
Course Title |
Cr. Hrs. |
|
1 |
Research Methodology (Core - III) |
3 |
|
2 |
Machine Learning (Core -IV) |
3 |
|
3 |
Elective – III |
3 |
|
4 |
Elective – IV |
3 |
|
|
Total |
12 |
|
|
Total Course Credits |
24 |
3rd to 4th Semester:
Research on the approved topic and thesis / dissertation write-up and its defense (06 Credit Hours).
A list of elective courses for MS / MPhil Data Science program:
|
S.No |
Course Title |
Credit Hours Hours |
|
|
Advanced Computer Vision |
3 |
|
|
Advanced Database Management Systems |
3 |
|
|
Bayesian Data Analysis |
3 |
|
|
Big Data Analytics |
3 |
|
|
Bioinformatics |
3 |
|
|
Cloud Computing |
3 |
|
|
Computational Genomics |
3 |
|
|
Data Engineering |
3 |
|
|
Data Mining |
3 |
|
|
Data Visualization |
3 |
|
|
Deep Learning |
3 |
|
|
Deep Reinforcement Learning |
3 |
|
|
Distributed Data Processing and Machine Learning |
3 |
|
|
Distributed Machine Learning in Apache Spark |
3 |
|
|
High performance computing |
3 |
|
|
Inference & Representation |
3 |
|
|
Information Retrieval |
3 |
|
|
Internet of Things (IoT) |
3 |
|
|
Natural Language Processing |
3 |
|
|
Optimization Methods for Data Science & Machine Learning |
3 |
|
|
Probabilistic Graphical Models |
3 |
|
|
Scientific Computing in Finance |
3 |
|
|
Social network analysis |
3 |
|
|
Time series Analysis and Prediction |
3 |