MS Artificial Intelligence
The computing field has created impact in almost every aspect of human life. During the past couple of decades, computing has not only developed as a discipline itself but it has also accelerated the advancement in other disciplines. Different sub-domains have been emerging in computing with the passage of time, like computer science, software engineering etc. A recent major development in computing is emergence of Artificial Intelligence (AI). This can be mainly contributed to the availability of abundance of data and capability to capture and process this huge amount of data. The AI has created huge impact in different walks of life including medical, business, entertainment and many others. As a subject, AI has evolved resulting Artificial, Convolutional and Recurrent Neural Networks. A recent advancement in AI is the Reinforcement Learning. All these developments in AI have resulted in amazing products in image processing, computer vision, voice recognition, natural language processing and many others.
In order to keep pace with the rest of the world and to prepare a trained workforce in this important and emerging field, the Department of Computer Science plans to offer a bachelor degree in AI, that is, MS(AI). The program has been structured after number of meetings among different stakeholders from industry and academia. The degrees being offered at different schools of the world have been studied, evaluated and discussed. In order to make it compatible with the requirements of regulators, the degree has been mainly structured as per the guidelines of computing council. On the other hand, the contents, delivery and evaluations have been made competitive with the top institutions of the world. After a thorough working in the structuring of degree, it is believed that the MS(AI) program offered at CUST will create a difference and huge impact in the market in the years to come.
Admission Requirements
- A minimum of 16 years of education leading to BS in Artificial Intelligence / Data Science / Computer Science / Information Technology / Software Engineering / Mathematics or equivalent
recognized by HEC - Minimum 2.00/4.00 CGPA or 50% marks
- Admission Test / HEC Approved Test
Degree Requirements
A student admitted in this program will have to complete the degree requirements by following any one of the options given below:
- 24 Cr. Hrs course work with 6 Cr. Hrs. Thesis
- 30 Cr. Hrs. course work (10 Courses)
Core Courses (12 Cr. Hrs.)
Course Title | Code | Cr. Hrs. |
---|---|---|
Advanced Machine Learning | AI5813 | 3 |
Applied Artifificial Intelligence | AI5823 | 3 |
Advanced Analysis of Algorithms | AI5833 | 3 |
Mathematics for Artifificial Intelligence | AI5843 | 3 |
Elective Courses (12 Credit Hours)
Course Title | Code | Cr. Hrs. |
---|---|---|
Data Mining | AI58x3 | 3 |
Information Retrieval | AI68x3 | 3 |
Applied Natural Language Processing | AI68x3 | 3 |
Heuristic Methods for Optimization | AI68x3 | 3 |
Pattern Recognition | AI68x3 | 3 |
Fuzzy Systems | AI68x3 | 3 |
Deep Learning | AI68x3 | 3 |
Advanced Computer Vision | AI68x3 | 3 |
Applied Neural Networks | AI68x3 | 3 |
Multi-Agent Systems | AI68x3 | 3 |
** More courses may be added with approval of BoS/BoF/Academic Council.
CGPA Requirement
A student is required to earn a minimum of 3.00/4.00 CGPA on the completion of his/her degree requirements.
Program Duration
This is normally a two years program comprising of 4 semesters with minimum 30 semester credit hours. There will be a fall and a spring Semester in each year. The Maximum duration to complete MS in Artificial Intelligence is 4 years.
Semester-I (12 Cr. Hrs.)
Course Code | Course Title | Category | Cr. Hrs. |
---|---|---|---|
AI5843 | Mathematics for Artifificial Intelligence | Core | 3 |
AI5823 | Applied Artifificial Intelligence | Core | 3 |
AI68x3 | Elective I | Elective | 3 |
AI68x3 | Elective II | Elective | 3 |
Semester-II (12 Cr. Hrs)
Course Code | Course Title | Category | Cr. Hrs. |
---|---|---|---|
AI5813 | Advanced Machine learning | Core | 3 |
AI5833 | Advanced Analysis of Algorithms | Core | 3 |
AI68x3 | Elective III | Elective | 3 |
AI68x3 | Elective IV | Elective | 3 |
Semester-III (03 Cr. Hrs)
Course Code | Course Title | Category | Cr. Hrs. |
---|---|---|---|
AI68x3 | Thesis I / Elective V | Elective | 3 |
Semester-IV (03 Cr. Hrs)
Course Code | Course Title | Category | Cr. Hrs. |
---|---|---|---|
AI68x3 | Thesis II / Elective VI | Elective | 3 |