MS & PhD Program In Artificial Intelligence
(Designed by NCAI)
Background
The National Center of Artificial Intelligence (NCAI) has top-notch AI scientists/researchers/students
selected by Higher Education Commission (HEC) on competitive grounds. Under the umbrella of NCAI
and partner universities, the program is proposed and designed by the NCAI. Public/private Universities
may use this curriculum as a guide to design their own courses, by acknowledging NCAI and may also
provide us with their valuable feedback/suggestion regarding the curriculum. The National Center of
Artificial Intelligence (NCAI), the latest technological initiative of the Government of Pakistan under the
has taken the lead by starting MS & Ph.D. Program in Artificial Intelligence to offer
specializations in different aspects of AI at the graduate level to help establish and grow the AI industry
in Pakistan.
Program Educational Objectives
PEO1: Have a strong competence in Artificial Intelligence resulting in successful careers.
PEO2: Pursuing research and innovation and be able to provide modern solutions to technical problems.
PEO3: To apply as well as create Artificial Intelligence based knowledge at par with the developments at
both national and international level.
Curriculum:
The proposed curriculum is unified for all NCAI partner universities. For the sake of uniformity and ease
of transfer of courses, a national course code has also been defined for each course. This will be treated as
a reference for course compatibility between NCAI partner institutions.
Core Courses
National Course code | Course Name | CHs |
---|---|---|
AI 801 | Artificial Intelligence | (3) |
AI 802 | Machine Learning | (3) |
AI 803 | Mathematical Methods for Artificial Intelligence | (3) |
MS Elective Courses
Cognition
National course Code | Course | CHs |
---|---|---|
AI 811 | Deep Learning | (3) |
AI 812 | Probabilistic Graphical Models | (3) |
AI 813 | Multi-agent Systems | (3) |
AI 814 | Knowledge Representation and Reasoning | (3) |
AI 815 | Neural Networks | (3) |
AI 818 | Probabilistic Robotics | (3) |
AI 819 | Text Analytics | (3) |
Perception
National course Code | Course | CHs |
---|---|---|
AI 821 | Computer Vision | (3) |
AI 822 | Advanced Image Processing | (3) |
AI 823 | Speech Processing | (3) |
AI 824 | Data Acquisition and Control | (3) |
AI 825 | Sensors and Sensing | (3) |
AI 826 | Human Robot Interaction | (3) |
AI 827 | Simultaneous Localization and Mapping | (3) |
AI 828 | Complex Adaptive Systems | (3) |
AI 829 | Social Simulations | (3) |
Action
National course Code | Course | CHs |
---|---|---|
AI 831 | Intelligent Systems | (3) |
AI 832 | Reinforcement Learning | (3) |
AI 834 | Robotic Grasping and Fixturing | (3) |
AI 835 | Rehabilitation and Assistive Robotics | (3) |
AI 836 | BioRobotics | (3) |
AI 837 | Intelligent Transportation Systems | (3) |
AI 838 | Serious Games | (3) |
Data Analytics/Big Data
National course Code | Course | CHs |
---|---|---|
AI 841 | Data Mining | (3) |
AI 842 | Information Retrieval | (3) |
AI 843 | Natural Language Processing | (3) |
AI 844 | Semantic Web | (3) |
AI 845 | Internet of Things | (3) |
AI 846 | Computational Creativity | (3) |
AI Support Systems
National course Code | Course | CHs |
---|---|---|
AI 851 | Advanced Signal Processing | (3) |
AI 852 | Modelling and Simulation | (3) |
AI 853 | Advanced Programming in Python | (3) |
AI 854 | Data Analysis and Visualization | (3) |
AI 855 | Cyber Security | (3) |
AI 856 | Ethical Machines | (3) |
In addition to MS course following additional courses are also available for PhD
PhD Courses
National course Code | Course | CHs |
---|---|---|
AI 916 | Pattern Recognition | (3) |
AI 917 | Evolutionary Algorithms | (3) |
AI 928 | Advanced Computer Vision | (3) |
AI 933 | Robot Motion Planning | (3) |
AI 945 | Advanced Big Data Analytics | (3) |
AI 946 | Data Mining | (3) |
AI 956 | Advanced Artificial Intelligence | (3) |
AI 957 | Advanced Signal Processing | (3) |
AI 958 | Modelling and Simulation | (3) |
For more details of course content click: NCAI AI Curriculum