MS Artificial Intelligence
Overview
The research and development in interdisciplinary domains of artificial intelligence applications can solve many daily routine problems and improve our lifestyle by offering products in many domains such healthcare. To meet these objectives, it is required to equip our students with the latest technologies and essential skills in AI covering both theoretical and practical aspects.
This program offers basic courses to understand core concepts of machine learning as well as specialized elective courses to train students with state-of-the-art skills in AI and teach them how to apply it in inter-disciplinary domains. This program will not only produce AI-trained scientists and engineers who can meet the requirements of AI in the Pakistani industry and will also address the global market. The degree will also help the students who are going to start a research-based career and planning to enroll in a PhD program.
Objectives:
The objective of this program is to develop AI related theoretical and research skills in students. In this context, the two-year program is divided into parts. The first year is dedicated to course work and second year is dedicated to a research. In the first year (2 semesters), the students will take fundamental AI courses along with electives, enhancing their skills in advanced applications of AI. In third semester, the students will start working on their thesis which will continue in 4th semester.
In this case, they can enroll in domain-wise courses which offer specialization in healthcare.
- Aim to be a healthcare provider or life science researcher with knowledge of AI, either in healthcare or biomedical research; or
- Aim to be a computer scientist or engineer who works with healthcare data
- Wish to be a driver of the development and deployment of AI into clinical practice or research.
Shipping
Great stories are for everyone even when only written for just one person. If you try to write with a wide general audience in mind, your story will ring false and be bland. No one will be interested. Write for one person. If it’s genuine for the one, it’s genuine for the rest.
COURSE FACT
|
Study Level
|
Post-Graduate |
|
Study Mode
|
Full Time |
| Course Length | 2 Years (4 Semesters) |
| Intake | Spring & Fall |
| Classes | Weekend Program (Friday and Saturday) |
| Start Date | Feb & Sep |
| 1st Semester Fee | PKR 88,795 |
| Credit Hours | 32 |
Semester 1:
1. Introduction to Programming for AI Students
2. Statistical and Mathematical Foundations of AI
(3 Credit Hours)
3. Domain Elective-1 (3 Credit Hours)
4. Professional Ethics (2 Credit Hours)
Semester 2:
1. Applied Machine Learning (3 Credit Hours)
2. Research Methods (3 Credit Hours)
3. Domain Elective-2 (3 Credit Hours)
Semester 3:
1. Domain Elective-3 (3 Credit Hours)
2. MS Thesis I (3 Credit Hours)
Semester 4:
1. Domain Elective-4 (3 Credit Hours)
2. MS Thesis II (3 Credit Hours)
| Eligibility
|
HEC recognized degree is required in relevant subject of science or engineering, earned from HEC recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0 (on a scale of 4.0). The related areas include Computer Science, Computer Engineering, Software Engineering, Mathematics, Engineering, Physics, Remote-sensing, Geo-information, Data Science, Artificial Intelligence, Bio Informatics, or relevant discipline. Students with diverse backgrounds and no prior programming or basic machine learning experience should enroll in deficiency courses. The programming deficiency course should cover fundamental programming concepts, including object oriented programming and data structures. Similarly, all students with limited knowledge of artificial intelligence should complete the basics of machine learning course. The admission committee, along with the faculty, will provide guidance to students regarding deficiency course selection. The GAT-General conducted by the National Testing Service or Test conducted by Riphah International university with a minimum 50% cumulative score will be required at the time of admission |
| Seats | 15 |
|
Selection Criteria
|
GRE General type test conducted by university at the time of admission Academic Qualification: 70% Test/Interview: 30% |
|
Scholarships
|
Need & Merit Based upto 100% |
|
Offered at
|
G 7 Campus |
|
Start Date
|
Spring (January-February) Fall (July-August) |
|
Application
|
Apply Online |