The MSc in Computing is a transformative program designed to equip students with advanced skills and knowledge in the ever-evolving field of computing. This comprehensive course integrates theory and practical application, preparing graduates for leadership roles in the dynamic world of technology. Our MSc in Computing boasts several key features designed to provide students with a transformative learning experience. The program offers an advanced curriculum, immersing students in a rich and diverse range of subjects, including Artificial Intelligence, Application Development, Data Analytics, Networking, Software Engineering. This ensures a comprehensive understanding of both foundational and cutting-edge concepts in computing. Moreover, theoretical knowledge gained in the classroom is seamlessly translated into practical skills through hands-on projects and industry internships, allowing students to apply their learning to real-world scenarios.
Staff Name |
Qualification |
Exp. |
Specialisation |
Dr. Paul Dudley |
PhD Strategic Management |
31 |
Leadership, Strategic Management |
Dr. Sujith Jayaprakash |
PhD Computer Science |
17 |
Machine Learning, Artificial Intelligence |
Dr. Fatma Ben Mesmia |
PhD Computer Science |
13 |
NLP, Deep Learning |
*Dr. Zainab Rasheed |
Doctorate in Education, MSc Database |
17 |
Databases, Metaverse, Information tech |
Dr. Nusrat Fatma |
PhD Computer Science and Engineering |
13 |
Computer Science, Artificial Intelligence |
Ms. Annette Nayana |
M.Tech and Embedded Systems |
10 |
Data Science, Data Analytics |
Dr. Rukshanda Kamran |
PhD Computer Science |
9 |
Cybersecurity, Cloud Computing |
* Adjunct Professor
The MSc in Computing opens doors to exciting career opportunities:
Year |
BIG Code |
Course Code |
Course Title |
Credits |
Yr-1 |
MSCC001 |
MICC |
Managing Innovation and Change in Computing |
10 |
MSCC002 |
SDUE |
Systems Development and User Experience (UX) |
10 |
|
MSCC003 |
IMCS |
Implementing and Managing Cyber Security |
10 |
|
MSCC004 |
BIS |
Business Intelligence Systems |
10 |
|
MSCC005 |
IP |
Independent Project |
10 |
|
- |
- |
Specialisation-1 |
10 |
|
Year-1 Credits |
60 |
MSCCOMP – MSc in Computing
Yr-2 |
MSCC008 |
DT |
Design Thinking (AI) |
10 |
||||
MSCC009 |
AIP |
AI Project Management |
10 |
|||||
MSCC010 |
MLDL |
Machine Learning and Deep Learning |
10 |
|||||
MSCC011 |
EPCAIL |
Ethical and Practical Considerations in AI Implementation |
10 |
|||||
MSCC012 |
CP |
Capstone Project |
10 |
|||||
- |
- |
Specialisation-2 |
10 |
|||||
Year-2 Credits |
60 |
|||||||
Total Credits (ECTS) |
120 |
|||||||
Specialization Modules for Networking |
||||||||
BIG Code |
Course Code |
Course Title |
Credits |
|||||
MSCC006 |
NIP |
Network and Infrastructure Development |
10 |
|||||
MSCC007 |
IOT |
Internet of Things (IOT) |
10 |
|||||
Specialization Modules for Application Development |
||||||||
BIG Code |
Course Code |
Course Title |
Credits |
|||||
MSCC006 |
MAD |
Mobile Application Development |
10 |
|||||
MSCC007 |
AI |
Artificial Intelligence |
10 |
|||||
Specialization Modules for Artificial Intelligence |
||||||||
BIG Code |
Course Code |
Course Title |
Credits |
|||||
MSCC006 |
CBRM |
Computer Based Research Methods |
10 |
|||||
MSCC007 |
AI |
Artificial Intelligence |
10 |
|||||
Specialization Modules for Data Analytics |
||||||||
BIG Code |
Course Code |
Course Title |
Credits |
|||||
MSCC006 |
DABD |
Data Analytics and Big Data |
10 |
|||||
MSCC007 |
CBRM |
Computer Based Research Methods |
10 |
|||||
Specialization Modules for Software Engineering |
||||||||
BIG Code |
Course Code |
Course Title |
Credits |
|||||
MSCC006 |
AT |
Agile Transformation |
10 |
|||||
MSCC007 |
ERP |
Enterprise Resource Planning System |
10 |
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