This Diploma in Emerging Technologies programme is designed to give students a strong foundation within the technical themes of evolving technologies, namely, Programming languages, GUI Tools & Distributions, Artificial Intelligence, Internet of Things, Mobile technologies & networks, Big data, cloud computing, IT security, soft skills and team building. The Diploma in Emerging Technologies (Big Data) will provide students with a variety of techniques used to retrieve and analyse data, and as well as process large, complex, and sometimes unstructured sets of information. The graduates can hence take up demanding, responsible and exciting positions in the rapidly expanding industries that are embarking on creating solutions using emerging technologies.
- Analytics Specialist
- Big Data Analyst
- Solution Architect
- Engineer and
- Business Consultant
Students who want to enter the field of emerging technologies
Full-Time: Minimum 2 years (4 semesters) and Maximum 4 years (8 semesters)
Part-Time: Minimum 3 years (6 semesters) and Maximum 5 years (10 semesters)
DIPLOMA in Emerging Technologies YEAR 1 (Level 1 – 60 Credits) | |||||||
Semester 1 |
Semester 2 |
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Code | Modules | Hrs/Wk
L/T/P+SD |
Credits | Code | Modules | Hrs/Wk
L/T/P+SD |
Credits |
MATH1103C | Decision Mathematics | 3+7 | 6 | DET1204C | Database Design and Implementation | 3+7 | 6 |
BNET1102C | Python Programming Methodology 1 | 3+7 | 6 | BNET1207C | Python Programming Methodology 2 | 3+7 | 6 |
DET1101C | Electronic Circuits and Communication | 3+7 | 6 | DET1205C | Internet of Things Design Principles | 3+7 | 6 |
DET1102C | Computer Architecture and Operating Systems | 3+7 | 6 | DET1206C | Big Data Architecture and Programming | 3+7 | 6 |
DET1103C | Soft Skills | 3+7 | 6 | BNET1210C | Network Technologies and Design | 3+7 | 6 |
Specialisation in Big Data YEAR 2 (Level 2 – 60 Credits) | |||||||
Semester 1 |
Semester 2 |
||||||
Code | Modules | Hrs/Wk
L/T/P+SD |
Credits | Code | Modules | Hrs/Wk
L/T/P+SD |
Credits |
DET2101C | Work Placement | Refer to table below | 6 | DET2207C | Artificial Intelligence with Machine Learning Techniques | 3+7 | 6 |
DET2102C | Foundation of Artificial Intelligence and Machine Learning | 3+7 | 6 | DET2208C | Mobile Communication System Architecture | 3+7 | 6 |
DET2103C | Analysis and Design in Practice | 3+7 | 6 | DET2209C | Cloud Computing and Techniques | 3+7 | 6 |
DET2104C | Computer Law and Cyber Security | 3+7 | 6 | DET2211C | Big Data Querying and Analytics | 3+7 | 6 |
DET2106C | R Big Data Analytics and architecture | 3+7 | 6 | DET2012C | System Design Project | – | 6 |
Five (5) credits at Ordinary level inclusive of a credit or equivalent grade in English and inclusive of a credit or equivalent grade in either Mathematics or Physics or Computer Science, or an alternative qualification acceptable to the APL/APEL committee
OR
Two (2) subjects at Advanced Level inclusive of either Mathematics or Physics or Computer Science or any other equivalent qualification acceptable to the APL/APEL committee.
Note: In addition to the above requirements, prior to the start of the diploma programme, the students will be required to follow a preparatory course of two weeks to equip them with the fundamental prerequisite skills (e.g. soft skills, mathematics fundamentals, etc.).
University of Technology, Mauritius
The cost of the course will vary according to the mode of delivery (full time/part time) you will opt. We are one of the institutions offering the same course at a very affordable price that suit your budget. Should you wish to sit for an examination, additional fees will be applicable depending on the examination centre.
Local | |
Application Fee: Rs 1,000 Admin Fee: Rs 6,500 If you have not completed any recognised Diploma or Degree before, then you will definitely enjoy the privilege under the Free Tertiary Education Scheme (FTES) for the whole duration of course, offered by the Ministry of Education, Tertiary Education, Science and Technology. Only Application and Administration fee will be applicable. |