PhD Information Technology – NUST
Course Name: PhD Information Technology
Overview:
The PhD (IT) degree aims to equip masters with a range of technical, business and behavioral skills needed for the successful implementation and management of Information Technology in todays’ business environment. Masters of the program take appropriate IT professional positions in industry and organizations, or pursue higher education and research in related disciplines.
Number of Semesters: 2
Requirements
- For admission into the PhD minimum CGPA 3.0/4.0.
- A subject test conducted by the National Testing Service (NTS).
- In the case of GAT Subject test a minimum of 60% marks is required to pass the test.
- Course work of 18 credit hours preferably in the first year is required to be completed and followed by a comprehensive examination for granting candidacy as PhD researcher.
Course Duration: N/A
How to apply:
Application
• Access web-link: www.pgadmission.nust.edu.pk • Fill online application form. • Upload scanned copies of required documents.
Application Confirmation
• Application confirmation will be sent at the given email address within 24 hours of submission.
Application Fee
• Deposit Application Fee online in any HBL branch.
Fee Receipt
• Fee confirmation will be sent at the given email address within 15 days of payment.
Application Status
• Application status would be communicated through email/website within 2 days of documents receipt.
Interview Calls
• Eligible candidates and those who qualify GAT-Gen or relevant tests will be asked to appear for interviews.
Interviews
• Candidates would appear for interviews at the concerned School/College/Center in July 2014.
Selection List
• Selection list will be uploaded on NUST website by the mid of August 2014.
Admission Dues
• Candidates will deposit admission dues in any HBL branch as per challan form available online.
Document Submission
• Candidates will prepare documents as per given checklist available online and will submit to the PGP Directorate, Main Office NUST. • All original documents, Medical Certificate and Affidavit will be submitted to the respective Schools/Colleges/Centers at the time of joining.
Joining Instructions
• Relevant NUST School/College/Center will issue joining instructions to those candidates who have completed all admission requirements.
• Successful candidates will join relevant programs as per joining instructions in 2nd week of September 2014.
Curriculum:
COURSES
Subjects Credit Hours |
Advance Database Concepts 3 |
Object-oriented Analysis & Design 3 |
Network Switching and Routing 3 |
Software Testing & Quality Engineering 3 |
Mathematical Methods of IT 3 |
Photonic Networks 3 |
Wireless Networks 3 |
Distributed Databases 3 |
E-commerce Engineering 3 |
Advanced Network Security 3 |
Advanced Topics in Database 3 |
Planning and Designing E-commerce Projects 3 |
Thesis 6 |
Distributed Computing 3 |
Advanced OO Design and Implementation 3 |
Data Mining 3 |
Logical & Formal Methods 3 |
Advance Distributed Computing 3 |
Enterprise OO Technologies 3 |
Parallel Computing 3 |
Artificial Intelligence & Machine Learning 3 |
Data Security & Privacy 3 |
Advanced Software Engineering 3 |
Strategic Information Management 3 |
Advanced Data Communication 3 |
Wireless Sensor Networks 3 |
QOS for Networks 3 |
Network Design & Management 3 |
Adv. Computer Networks 3 |
Web-based Databases 3 |
Object-oriented Databases 3 |
Internet Marketing 3 |
Software Testing & Quality Engineering 3 |
E-commerce Laws and Regulations 3 |
Learning Through Pedagogy & Technology 3 |
Universal Design for Learning in Science and Mathematics 3 |
Graph Theory & Algorithm 3 |
Information Retrieval 3 |
Semantic Web 3 |
Ontology Engineering 3 |
Advanced Image Processing 3 |
Formal Methods 3 |
ADDITIONAL ELECTIVES
Subjects Credit Hours |
Advanced Computer Graphics 3 |
Advanced Information Security 3 |
Advanced Requirements Engineering 3 |
Cloud Computing 3 |
Component-based Software Engineering 3 |
Computer Security Architecture 3 |
Cryptography and Security Mechanisms 3 |
Information Assurance 3 |
Information Visualization 3 |
Machine Learning 3 |
Rich Internet Applications 3 |
Scientific Computing 3 |
Scientific Visualization 3 |
Software Verification 3 |
Ubiquitous and Autonomic Computing 3 |
ADDITIONAL COURSE
Subjects Credit Hours |
Research Methodology 2 |