Join us to develop your practical skills in big data analytics to analyze, interpret, and drive informed decisions in today’s data-focused landscape.
This Diploma in Emerging Technologies (Big Data Analytics) 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 Analytics) 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. Nowadays, Emerging Technologies are central to every industry which lead to creating more efficient ways to work, engaging ways to reach customers, and establishing powerful ways to communicate. The students will have the skills they need to succeed in the changing world of technology.
Full Time: 2 Years
Part Time: 3 Years
March 2025
Ebene Campus
Reduit Campus
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
One (1) subject at Advanced Level inclusive of either Mathematics or Physics or Computer Science.
| SN. | Module Code | Modules |
|---|---|---|
| 1 | DDM1101 | Decision Mathematics |
| 2 | DPPM1102 | Python Programming Methodology 1 |
| 3 | DECC1103 | Electronics Circuits & Communication |
| 4 | DCAOS1104 | Computer Architecture & Operating Systems |
| 5 | DDDI1105 | Database Design & Implementation |
| 6 | DCS1106 | Competency Skills 1 |
| SN. | Module Code | Modules |
|---|---|---|
| 1 | DCCT1201 | Cloud Computing and Techniques |
| 2 | DPPM1202 | Python Programming Methodology 2 |
| 3 | DIoTDP1203 | Internet of Things Design Principles |
| 4 | DBDAP1204 | Big Data Architecture & Programming |
| 5 | DNTD1205 | Network Technologies & Design |
| SN. | Module Code | Modules |
|---|---|---|
| 1 | DMCSA2101 | Mobile Communication System Architecture |
| 2 | DFAIML2102 | Foundation of Artificial Intelligence & Machine Learning |
| 3 | DCLCY2103 | Computer Law & Cybersecurity |
| 4 | DAD2104 | Analysis & Design in Practice |
| 5 | DRBDAA2105 | R Big Data Analytics & Architecture |
| 6 | DCS2106 | Competency Skills 2 |
| SN. | Module Code | Modules |
|---|---|---|
| 1 | DAIML2201 | Artificial Intelligence with Machine Learning Techniques |
| 2 | DBDQA2202 | Big Data Querying & Analytics |
| 3 | DWIL2204 | Work Base Learning (Internship) |
| 4 | DCP2205 | Capstone Project |
Upon successful completion of the course, you can apply for the following roles:
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
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.
