Data Analytics MSc/ PG Dip/ PG Cert

  • Address: Building 12, Dubai Internet City - Dubai, UAE (Map)
  • Tel: Show Number
Price: AED 89,250

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Professionals with the ability to interrogate datasets by applying analytical techniques to describe and predict business performance are in high demand worldwide.

The first semester modules focus on core topic areas such as business intelligence and analytics, data warehouse design, and big data applications, enabling you to gain insights into large multivariate datasets and apply your problem-solving abilities to explore business opportunities and challenges data scientists face when using business intelligence systems.

In the second semester, you will apply your technical knowledge and further progress your analytical expertise by focusing on specific data science subject areas such as data mining techniques and methods. You will also be encouraged to demonstrate your technical and analytical abilities in response to real-world problems during your final-semester individual project.

Our graduates will leave with sought-after skills for business intelligence and data mining roles within any field of data science. Opportunities also exist for further academic study towards a doctorate and a research career.

Key features

  • Designed to equip you with the technical expertise needed for a career in industry, this course will hone you for roles suited in the field of analytics and business intelligence.
  • Students will gain insight into real-world issues and solutions through research groups. You will have the opportunity to attend guest lectures and seminars. The curriculum features Apache Spark and the Hadoop Distributed File System to demonstrate data mining and machine learning algorithms.
  • Our dedicated computing laboratories fully equipped with HP dual-boot, all-in-one computers and a high-performance file server.
  •  The university’s commitment to staying at the forefront of technological advancements is evident in its partnerships with industry, which provide students with valuable networking opportunities and enterprise connections.
  • Students on the Dubai campus will benefit from the same high-quality education and industry-relevant curriculum. Additionally, students will have access to state-of-the-art facilities and resources, ensuring they are well-equipped to excel in their studies and future careers in data science.
  • DMU Dubai students can now benefit from the Industry Advisory Board, which comprises leading experts and professionals at the enterprise level. The board provides valuable insights and guidance to ensure the curriculum remains relevant and current with industry trends and demands.
  • Benefit from Education 2030, where a simplified ‘block learning’ timetable means you will study one subject at a time and have more time to engage with your learning, receive faster feedback and enjoy a better study-life balance.

Course modules

All Modules

  • Data Analytics Infrastructure
  • Big Data Applications
  • Data Mining Techniques and Methods
  • Project proposal, Planning and project management (PPPM)
  • PGT Project

About the instructor

Dr. Muhammad Ghalib
Senior Lecturer

Dr. Ghalib received his Computer Engineering Bachelors, Masters, and Ph.D. from Anna University, India. He has a vast experience of 14+ years in academics & research with the top-ranked universities like Vellore Institute of Technology (VIT) University & Anna University in India. While at VIT, he also held additional responsibility as Assistant Director, International Relations where he was involved in developing academic & research collaborations with many International Universities in Oceania Countries (mostly in Australia & New Zealand) and with some European countries as well. He has experience working on Erasmus+ Staff & Student exchange programmes. He was nominated for Erasmus+ staff exchange to Middle East Technical University (METU), Turkey & Mykolas Romeris University (MRU), Lithuania in 2017 & 2018 respectively. He is currently a Senior Lecturer at De Montfort University (DMU), Dubai. He has published 50+ peer-reviewed research articles including SCI & Scopus indexed International Journals apart from Book chapters & numerous conference proceedings. He is an active IEEE senior member from the R10 region and involves himself in its various technical activities. He is also an active member/life-member of professional societies like Computer Society of India (CSI), Society of Industrial & Applied Mathematics (SIAM), Indian Science Congress Association (ISCA) & Manchester Literary, and Philosophical Society (Lit & Phil). He has been collaboratively working with many researchers globally in various areas of research predominantly in the health care domains of Data Science Technology, Cyber Security, IoT & Bioinformatics, ML & Artificial Intelligence.

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