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Students
Tuition Fee
AED 38,850
Per year
Start Date
Medium of studying
Blended
Duration
12 months
Program Facts
Program Details
Degree
Diploma
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
Blended
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
AED 38,850
About Program

Program Overview


The MAHE Dubai PG Diploma in Data Science is a one-year, hybrid learning program designed to equip graduates with advanced skills in data analysis, machine learning, and business intelligence. Students will gain hands-on experience through real-time data projects and learn from domain experts. The program offers two specializations, Artificial Intelligence for Data Science and Business and Data Analytics, and provides eligibility for additional certifications in software and tools. Graduates are well-prepared for careers as data scientists, analysts, engineers, and architects.

Program Outline


Degree Overview:

The PG Diploma Program - Data Science offered by the School of Engineering and IT at MAHE Dubai is a 1-year program comprising 3 terms of 11 teaching weeks each. This is a hybrid learning program delivered in campus, with few components delivered through online mode.


Objectives:

  • Understanding and implementing Machine learning, Deep learning, and Natural Language Processing technologies for solving today’s complex computing and Business problems.
  • Demonstrating the use of advanced visualization and cloud-based applications.
  • Hands-on exposure of real-time data projects.

Teaching:

  • The program is delivered through a combination of face-to-face classroom sessions and online classes.
  • Each term has face-to-face classroom sessions and a few topics in each program are designed to be delivered through web-based Instructor-led training.
  • The program is taught by domain experts.

Careers:

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Data Architect
  • Machine Learning & AI Engineer
  • Business Intelligence Analyst & Developer
  • Marketing, Banking, Financial & Risk Analyst

Other:

  • Two areas of specialization are offered with this program:
  • Artificial Intelligence for Data Science
  • Business and Data Analytics
  • Key Features:
  • Credit Based System
  • Only 2 courses in each term and module wise delivery by domain experts
  • 1-2 week Preparatory course (Foundation course) on Programming and Statistical Analysis before starting main course
  • In campus and online support for practical lab sessions
  • Capstone project in 3rd Term
  • Internships and Placement support by Career Services Department
  • The program helps the students:
  • Learn machine learning, Deep learning and Natural Language Processing algorithms and demonstrate recommendation system
  • Obtain, clean, and transform data processing practices within data science and business analytics domain
  • Analyze Data and develop business data-stories using Business Intelligence & visualization tools
  • Understand the use of Big Data techniques and practices in cloud platforms
  • Eligibility:
  • Graduates from a recognized institute/University with one Maths/Statistics/Programming as a course in the qualifying degree.
  • Minimum 50% marks or equivalent in the qualifying examination.
  • Students may opt to gain additional certifications in softwares and tools such as:
  • MOOC Coursera professional certifications
  • Oracle Academy certifications
  • BEINEX Certification
  • Python programming tools: Jupiter, PyCharm, Idle
  • R Language
  • Machine Learning, Deep learning & NLP tools
  • Oracle Database, NoSQL, Hadoop, Hive, PIG, AWS Cloud
  • Tableau Visualization
  • Real Data set resources
  • BEINEX Dubai
  • Nybl Dubai
  • Data Semantics
  • Dubizzle
  • Property Finder
  • Oracle Academy

The annual tuition fee for the PG Diploma in Data Science is 38,850 UAE Dirham (inclusive of VAT).

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Admission Requirements

Entry Requirements:

  • Graduates from a recognized institute/University with one Maths/Statistics/Programming as a course in the qualifying degree.
  • Minimum 50% marks or equivalent in the qualifying examination.
Location
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