Starting Of MS & PhD Program In Artificial Intelligence Sponsored by NCAI
Background
We are now at the cusp of fourth industrial revolution and AI is spearheading all this debate. According to Forbes, AI will create 58 million new jobs by 2022 and is one of the fastest growing skills on LinkedIn and its global demand increased 190% from 2015-17. The National Center of Artificial Intelligence (NCAI), the latest technological initiative of Government of Pakistan under the Vision 2025 plan, has taken the lead by starting MS & PhD Program in Artificial Intelligence at its principal seat and headquarters, NUST Islamabad to offer specializations in different aspects of AI at the grad level and establish and grow AI industry in Pakistan.
Program Introduction
The program would interest students working in diverse areas such as medical image processing,
robotics, and smart city etc. The coursework will cover both the depth and the breadth of the core
areas. Students will have the liberty to specialize in any of the areas in which research is being
carried out under NCAI and they will also have the freedom to choose courses offered at
different center labs at six different universities. It will provide specialization in the broader
areas of deep learning, robotics, computer vision, and natural language processing. It will also
provide grounding in basic mathematics and statistics behind AI based systems.
Eligibility / Admission Criteria
MS: In addition to the eligibility criteria prescribed by NUST for MS program, a candidate must possess a Bachelor’s in Computer Sciences, Computational Sciences and Engineering, Geoinformatics / Engineering (Mechatronics, Electrical, Mechanical, Aerospace, Avionics or Computer / Software) or a relevant / equivalent degree from a PEC/HEC recognized institution of Pakistan or abroad.
PhD: In addition to the eligibility criteria prescribed by NUST for PhD program, a candidate must possess a Master’s in Computer Sciences or Engineering or a relevant / equivalent degree from a PEC/HEC recognized institution of Pakistan or abroad.
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.
For more information and details visit: MS & PhD Program
Core Courses
| National Course code | Code | Course Name | C H |
|---|---|---|---|
| AI 801 | CSE 860 | Artificial Intelligence | (3) |
| AI 802 | RIME 832 | Machine Learning | (3) |
| AI 803 | MTH 803 | Mathematical Methods for Artificial Intelligence | (3) |
MS Elective Courses
| National course Code | Code | Course | CHs |
|---|---|---|---|
| AI 811 | RIME 833 | Deep Learning | (3) |
| AI 812 | AI 812 | Probabilistic Graphical Models | (3) |
| AI 813 | CS 891 | Multi-agent Systems | (3) |
| AI 814 | AI 814 | Knowledge Representation and Reasoning | (3) |
| AI 815 | AV 804 | Neural Networks | (3) |
| AI 818 | RIME 836 | Probabilistic Robotics | (3) |
| AI 821 | EC 803 | Computer Vision | (3) |
| AI 822 | CS 862 | Advanced Image Processing | (3) |
| AI 823 | EE 932 | Speech Processing | (3) |
| AI 824 | EM 840 | Data Acquisition and Control | (3) |
| AI 825 | RIME 843 | Sensors and Sensing | (3) |
| AI 826 | RIME 835 | Human Robot Interaction | (3) |
| AI 827 | RIME 837 | Simultaneous Localization and Mapping | (3) |
| AI 828 | CS 893 | Advanced Computer Vision | (3) |
| AI 831 | AI 831 | Intelligent Systems | (3) |
| AI 832 | AI 832 | Reinforcement Learning | (3) |
| AI 834 | RIME 813 | Robotic Grasping and Fixturing | (3) |
| AI 835 | RIME 814 | Rehabilitation and Assistive Robotics | (3) |
| AI 836 | RIME 817 | BioRobotics | (3) |
| AI 841 | CS 822 | Data Mining | (3) |
| AI 842 | CS 825 | Information Retrieval | (3) |
| AI 843 | CS 875 | Natural Language Processing | (3) |
| AI 844 | CS 873 | Semantic Web | (3) |
| AI 851 | AI 851 | Advanced Signal Processing | (3) |
| AI 852 | EM 890 | Modelling and Simulation | (3) |
| AI 853 | AI 853 | Advanced Programming in Python | (3) |
| AI 854 | AI 854 | Data Analysis and Visualization | (3) |
| AI 855 | AI 855 | Cyber Security | (3) |
| AI 845 | IT 863 | Internet of Things | (3) |
| AI 828 | AI 828 | Complex Adaptive Systems | (3) |
| AI 819 | AI 819 | Text Analytics | (3) |
| AI 846 | AI 846 | Computational Creativity | (3) |
| AI 837 | AI 837 | Intelligent Transportation Systems | (3) |
| AI 829 | AI 829 | Social Simulations | (3) |
| AI 838 | AI 838 | Serious Games | (3) |
| AI 856 | AI 856 | Ethical Machines | (3) |
PhD Courses
| National course Code | Code | Course | CHs |
|---|---|---|---|
| AI 916 | RIME 942 | Pattern Recognition | (3) |
| AI 917 | AI 917 | Evolutionary Algorithms | (3) |
| AI 928 | CS 893 | Advanced Computer Vision | (3) |
| AI 933 | RIME 914 | Robot Motion Planning | (3) |
| AI 945 | AI 945 | Advanced Big Data Analytics | (3) |
| AI 946 | CS 822 | Data Mining | (3) |
| AI 956 | RIME 933 | Advanced Artificial Intelligence | (3) |
| AI 957 | AI 957 | Advanced Signal Processing | (3) |
| AI 958 | EM 890 | Modelling and Simulation | (3) |