MSc in Applied Software Technologies in collaboration with Accenture Mauritius
We are pleased to announce that registration for the forthcoming conversion program MSc in Applied Software Technologies in collaboration with Accenture Mauritius is open to all university graduates who have a first degree in either of the following fields: Science, Engineering, Technology or Mathematics and who might be interested to join the ICT sector. The target starting date is planned for January 2024.
The program has been co-developed by Accenture and University of Mauritius and has been running since January 2018. It is constantly updated to cater for the evolving needs of the industry. Students will be exposed to the latest technologies and develop the technical, analytical, and professional skills required to join a dynamic innovative technology workforce.
The MSc is an intensive 1-year full-time degree covering taught core and specialization modules, assessments and/or exams, 6-months internship and masters project assignment. The MSc is fully funded and students will benefit from a monthly stipend throughout the duration of the program. Upon successful completion of the MSc students will have a guaranteed full time job position at Accenture Technology Mauritius.
Please note that
- No prior knowledge or degree in the subject matter of the masters program is required.
- Applicants must clear the selection process by Accenture Mauritius to enroll for this programme.
If you are interested in joining the program you can apply directly on the following link.
An awareness session for the program has been tentatively scheduled for Monday 30th October at 10:30 am Tech Avenue on the campus of the university. We invite you to join us if you would like to know more about the program.
Contact Us
Address:
Level 2
Faculty of Engineering Phase II Building
University of Mauritius
Reduit
Telephone:
(230) 4037400, Ext 4006, 4026, 4004 and 4005
MPhil/PhD Research (Ongoing)
|
Student |
Research Title |
Supervisor |
|
Vijaylakshmi Akhu |
Automatic Detection of Uncommon Behaviour of Drivers using Deep Learning |
Dr Sunilduth Baichoo |
|
Somveer Kishnah |
Automatic Mauritian Sign Language Recognition System |
Dr Sunilduth Baichoo Dr Maleikka Heenaye- Mamode Khan |
|
Dassen Sathan |
Enhancing Knowledge Discovery from Cancer Genomics data using Cloud-Based Workflows |
Dr Shakun Baichoo |
|
Lakshmi Sujeeun |
Computational modeling of cell-scaffold interaction to guide scaffold design and performance for tissue engineering applications |
Dr Shakun Baichoo (Co-Supervisor) |
|
Aatish Chiniah |
Data Management in Erasure-coded Distributed Storage Systems |
Dr Avinash Mungur |
|
Ashley Rajoo |
A Generic Mobile Participatory Sensing Framework for Trustworthy and Reliable Data in Urban Spaces |
Dr Mungur Avinash |
|
Khusal Jugurnath |
Formal Design process for the Mobile Learning environment |
Dr Nitish Chooramun |
|
Ashlinah Mocktoolah, |
An adaptive context aware adaptive privacy framework for Proximity Based Social Networking (PBSN) |
Dr Kavi Khedo |
|
Brita Curum |
A Context-Aware Framework For Dynamic Content Adaptation In Mobile Learning Platforms |
Dr Kavi Khedo |
|
Heerish Bujun |
Optimal Topology for efficient routing and data aggregation in Wireless Sensor Network Urban Drainage System |
Dr Kavi Khedo |
|
Arvind Ramtohul |
Lightweight and Flexible Positioning Techniques for Real-Time Mobile Augmented Reality Systems |
Dr Kavi Khedo |
|
Ashley Rajoo |
A Generic Mobile Participatory Sensing Framework for Trustworthy and Reliable Data in Urban Spaces |
Dr Kavi Khedo |
|
Sudha Cheerkoot-Jalim |
Text-Mining Approaches for Data-Driven Evidence-Based Clinical Decision Support for Diabetes |
Dr Kavi Khedo |
|
Chandra Prakash Gumbheer, |
An Adaptive Context Aware Mobile Learning Framework as Assistive Technology for Learners with Cognitive Disabilities |
Dr Kavi Khedo |
|
Kelvin N.S. Heeroo |
Adaptive Slime Mould Algorithm for Sustainable Transport Development |
Dr Oomesh Gukhool |
|
Leevesh Pokhun |
A Framework for Cyber bullying Prediction in Online Social Networks using Deep Learning Algorithms |
Dr Yasser Chuttur |
|
Yusuf Fauzel |
Towards Improved Methods for Open Source Code Search and Reuse Using Deep Learning and Programmers Centered Design |
Dr Yasser Chuttur |
|
Sandy Ramasawmy |
An Analysis of Machine Learning Models Suitable for Error Detection in Infrastructure as Code (IaC) |
Dr Yasser Chuttur |
PhD Research (Completed)
|
Student |
Research Title |
Supervisor |
Completion Date |
|
|
Theotime Bakunzi |
Recognizing faces --- an approach based on sparse representation and support vector machines |
Dr Suniduth Baichoo |
Jan 2020 |
|
|
Kevin Persand |
Comparative genomics of Mycobacteria species complex |
Dr Shakun Baichoo |
July 2020 (Awaiting External Examiners’ Recommendations) |
|
|
Purvashi Baynath |
Username and password authentication through Keystroke Dynamic |
Dr Maleikka Heenaye- Mamode Khan |
Nov 2020 |
|
|
Raj Moloo |
An Audio MOOC framework leveraging the existing telephony infrastructure as an alternative to internet connectivity |
Dr K. Khedo |
Dec 2019 |
|
|
Geshwaree Huzooree |
Quality of Information (QoI) Framework for Real Time Diabetes Monitoring Pervasive Healthcare Systems |
Dr K. Khedo |
Aug 2020 |
|
Research Groups
|
Group Name |
Members/ Details |
|
Health Informatics Research Group |
Dr. K. Khedo, Dr. (Mrs.) Shakuntala Baichoo, Mrs Z. Mungloo-Dilmohamud, Mrs. S. Cheerkoot-Jalim, Mrs. S. Nagowah, Mrs. Z. Cadersaib, Mr. L. Nagowah |
|
Bioinformatics Research Group |
Dr. (Mrs) Shakuntala Baichoo, Mrs Z. Mungloo-Dilmohamud, Dr. A. Ghoorah, Dr. Y. Jaufeerally |
|
Biometric Research Group |
Mrs. M. Heenaye-Mamode Khan, Dr. (Mr.) S. Baichoo, Dr. N. Pavaday |
|
ICT for Sustainable Development and Innovation (ICT4SDI) |
Dr B. Gobin-Rahimbux (Chairperson), Dr M. Heenaye-MamodeKhan, Dr N. Gooda Sahib, Dr N. Chooramun, Mrs Z. Cadersaib, Mrs S. Cheerkoot-Jalim and Mr S. Kishhah |
|
Remote Sensing and Big Data Analytics for Disaster |
Dr (Mr) S. Baichoo, Dr K. K. Khedo, Dr (Mrs) Shakuntala Baichoo |
|
Computer Networks Research Group |
Mr. J. Seetohul, Dr A. Mungur, Mr. A. Chiniah, Mrs V. Ramnarain-Seetohul |
|
Social Informatics Research Group |
Dr. Chuttur M.Y., Dr. Sameerchand P., Dr. Elaheeboccus R., Dr. Sungkur K. |
| Cyber Security & Forensics Research Group (CSFRG) Collaborator: Harel Mallac Technologies |
Associate Professor (Dr) Sheeba Armoogum (Group Head), Associate Professor (Dr) Avinash Utam Mungur, Mrs Chhaya Jahajeeah-Suntoo, Professor Kevin Warwick (Emeritus Professor at Coventry University and University of Reading), Loveina Moodhoo, Urvashee Marday, Vanusha Kaully, Manishaa Toolooa, Syed Altaaf Mahomathoo Ghaboos, Lakshana Appadoo, Mauritius, Deepshikha Meetoo (PWC, UK), Lavanya-Nehan Degambur (Lecturer, Whitefield Business School), Pravesh Gaonjur (General Manager, Tylers-Information Security Experts), Hervin Meetoo (Manager @ITSec Ltd.- BDO), Vyankoj Mulloo(Officer in Charge, Government Online Centre). |
| Resilient and Innovative Computing Research Group |
Dr Paramasiven Appavoo (ICT dept), Mr Anwar Chutoo (ICT dept), |
Resilient and Innovative Computing Research Group
The mandate of the group is to carry research into issues that hinder the adoption of latest technologies and propose solutions to these issues. We also want to research the best practices for the adoption and creation of innovative solutions to challenges facing the IT world today.
The group is composed of the following members:
- Dr Paramasiven Appavoo (ICT dept)
- Mr Anwar Chutoo (ICT dept)
- Mrs Begum Durgahee (ICT dept)
- Dr Anuja Meetoo-Appavoo (ICT dept)
- Mr Selvanaden Sathan (ICT dept)
- Mr Loganaden Velvindron ( Cyberstorm.mu member/MD WhiteStorm Ltd)
Among projects we are currently looking into are the following:
- Post Quantum Computing Cryptographic readiness analysis
- A Post-Quantum safe IoT infrastructure
- Post Quantum transition for legacy Linux servers
- Using WebNN as an abstraction for intelligent web browsers
- Opt-out signals to web servers and services for not selling or sharing users’ personal information with third parties.
- Artificial Intelligence & Security
The group will also
- provide training/short courses
- create opportunities for students’ international and professional exposure
- organize seminars and programming/hackathon competitions
on the required technologies