The MS Data Science degree at ITU will develop realworld problemsolving skills using data science, which will differ from typical classroom problems. At ITU, we believe in the solution of problems with high social impact. The curriculum will also take into consideration the needs of the industry including stakeholders in business, social media, education, health, and entertainment. The MS program will prepare students to actively contribute to various fields, related to data science, such as computer vision, big data analytics, scientometrics, artificial intelligence, highperformance computing, and computer security.
| ITU MS(DS) Roadmap | |
|---|---|
| Semester 1 Courses | Credit Hours |
| Tools and Techniques for Data Science | 2+1 (lab) |
| Statistical and Mathematical Methods for Data Analysis | 3 |
| Information Retrieval and Text Mining | 3 |
| Semester 2 Courses | Credit Hours |
| Machine Learning | 3 |
| Big Data Analytics | 3 |
| Deep learning | 3 |
| Research Methodology | |
| Semester 3 Courses | Credit Hours |
| Elective Course | 3 |
| Thesis I | 3 |
| Semester 4 Courses | Credit Hours |
| Elective Course | 3 |
| Thesis II | 3 |
The following core courses are much recommended to be completed before entering the MS (DS) program.
Programming Fundamentals (Core Programming Course)/OOP Data Structures & Algorithms OR Design & Analysis of Algorithms Database Systems Linear Algebra/Calculus/Statistics
- Natural Language Processing
- Computer Vision
- Speech Processing
- Blockchain
- Pattern Recognition
- Approximation Algorithms
- Internet of Things (IoT)