Diploma in Big data Analytics (DBDA)

Join us to develop your practical skills in big data analytics to analyze, interpret, and drive informed decisions in today’s data-focused landscape.

overview

The Diploma in Big Data Analytics is designed to prepare learners for the demands of a rapidly evolving digital environment by building a strong foundation in programming, data analysis, cloud computing, artificial intelligence, and related emerging technologies. The programme responds to the growing need for professionals who can work with large, complex, and sometimes unstructured data to support smarter decision-making and innovation across industries.

This diploma aims to bridge the gap between current labour market needs and industry expectations while equipping learners with the technical and analytical skills required for entry-level roles in ICT and data-driven environments. It also develops practical competencies in software development, solutions design, technology support, and data interpretation, with a clear emphasis on applied learning and problem-solving.

key facts

Duration

Full Time: 2 Years – 5 Years

Part Time: 3 Years – 5 Years

Starting

N/A

Location

Ebene Campus
Reduit Campus

Methodology & Pathway

Through a combination of guided learning, independent study, project work, workintegrated learning, and soft skills development, the programme supports both academic progression and career readiness. Graduates will be well positioned to pursue employment in areas such as big data analytics, database administration, network support, and related technology fields, or continue their studies at a higher level.

Target Group

This Diploma targets school leavers, working professionals or any potential candidate possessing a Certificate in varied fields of IT to embark in this programme.

Entry Requirements

The minimum entry requirements for this programme is:

  1. a) Completed Certificate Level 5 in any IT field;
  2. b) Completed HSC/GCE with 1 “A” Level in any subject in more than 1 sitting, inclusive of either Mathematics or Physics or Computer Science;
  3. c) Completed SC/GCE “O” level with 5 credits in any subject in more than 1 sitting inclusive of a credit or equivalent grade in either Mathematics or Physics or Computer Science;
  4. d) Any equivalent qualifications pitched at Level 5 of the NQF.

Course Content

Full Time
Year 1 Sem 1 Year 1 Sem 2 Year 2 Sem 1 Year 2 Sem 2
1. Decision Mathematics 1. Cloud Computing and Techniques 1. Applied Statistics for Data Analytics 1. Work Integrated Learning (WIL)
2. Fundamentals of Programming 2. Programming for AI & Data Applications 2. Big Data Querying & Analytics 2. Capstone Project
3. Business Intelligence and Data Visualization 3. Data Warehousing 3. Big Data Analytics & Architecture
4. Computer Architecture & Operating System 4. Big Data Architecture & Programming 4. Research Methodology
5. Interpersonal Skill (PolyCORE) 5. Foundations of Data Science & Artificial Intelligence 5. Principles of Entrepreneurship
6. Database Design & Implementation 6. Data Governance, Ethics and Security 6. Machine Learning for Intelligent Systems
Part Time

Part Time

Year 1 Sem 1 Year 1 Sem 2 Year 2 Sem 1 Year 2 Sem 2 Year 3 Sem 1 Year 3 Sem 2
1. Decision Mathematics 1. Computer Architecture & Operating System 1. Data Warehousing 1. Applied Statistics for Data Analytics 1. R Big Data Analytics & Architecture Capstone Project
2. Fundamentals of Programming 2. Database Design & Implementation 2. Big Data Architecture & Programming 2. Big Data Querying & Analytics 2. Machine Learning for Intelligent Systems
3. Business Intelligence and Data Visualization 3. Cloud Computing and Techniques 3. Foundations of Data Science & Artificial Intelligence 3. Research Methodology 3. Principles of Entrepreneurship
4. Interpersonal Skill (PolyCORE) 4. Programming for AI & Data Applications 4. Data Governance, Ethics and Security
* Note: Part Time mode does not include Work Integrated Learning (WIL) component

Awarding Body

Career Prospect

It will provide students with an opportunity to start in entry-level or trainee roles and with further learning, progress to higher positions in the field of Big Data Analytics. There are many and varied career opportunities for Diploma holders in the fields of Big Data Analytics in this evolving industry in Mauritius. Due to the global nature of this field, there are also career opportunities in other parts of the World. Possible jobs include IT Programmer, Server Operator, Computer Technician, Network Technician, Technical Assistant, Helpdesk Officer, Big Data Analysts, Database Administrators, etc.

Fees

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.

Application Fee: Rs 1,000 (one-off, Non refundable)

Admin Fee: Rs 8000 (Annually Payable at the Start of the Academic year)

Additional Fees may be applicable.

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 the course, offered by the Ministry of Tertiary Education, Science and Research. This applies only to local students pursuing their studies on Full Time basis. Only Application and Administration fee will be applicable.

Note: The above applies to students in the Republic of Mauritius only.

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