Post Graduate Diploma (Data Science)
Field of Study:
د.إ33,000/Yr
The PG Diploma Program - Data Science offered by the School of Engineering and IT at MAHE Dubai is a 1-year program comprising of 3 terms of 11 teaching weeks each. This is a hybrid learning program delivered on campus, with few components delivered through online mode.
This program focuses on:
- Understanding and implementing Machine learning, Deep learning, and Natural Language Processing technologies for solving today’s complex computing and Business problems.
- Understanding and implementing Data Analysis, Decision making, and Business Intelligence tools and technologies for solving today’s complex business problem.
- Demonstrating the use of advanced visualization and cloud-based applications.
- Hands-on exposure to real-time data projects.
Important Dates
Intake Sessions:
- September
- February
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fee | د.إ33000 (AED 33000) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Single Occupancy (Hostel) | د.إ35500 (AED 35500) |
Double Occupancy (Hostel) | د.إ28500 (AED 28500) |
Triple Occupancy (Hostel) | د.إ25500 (AED 25500) |
Total Cost | د.إ89500 (AED 89500) |
Eligibility & Entry Requirement
Academic Eligibility:
- Graduates from a recognized institute/ University with one Maths/Programming as a course in the qualifying degree.
- Minimum 50% marks or equivalent in the qualifying examination
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test to get admission to this program.
Required Document List
Documents required are:
- Certified copy of Bachelor Degree and a copy of the mark sheet (along with the original)
- Passport copy
- 5 Passport size photographs
Career and Placement after Course
Some of the career opportunities in Data Science:
- Data Scientist
- Data Analyst
- Data Engineer
- Data Architect
- Machine Learning & AI Engineer
- Business Intelligence Analyst & Developer
- Marketing, Banking, Financial & Risk Analyst
Comments