Ð԰ɵç̨

Data Analytics MSc - Ð԰ɵç̨ Dubai

 

Key details

Award: MSc
Duration: One year full-time, two years part-time
Location: Ð԰ɵç̨ Dubai campus

Course overview

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.  
• Ð԰ɵç̨ 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 Block teaching, 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

• Block 1 - Data Analytics Infrastructure
• Block 2 - Big Data Applications
• Block 3 - Data Mining Techniques and Methods
• Block 4 - Project proposal, planning and project management (PPPM)
• Blocks 5 & 6 - PGT Project

Note: All modules are indicative and based on the current academic session. Course information is correct at the time of publication and is subject to review. Exact modules may, therefore, vary for your intake in order to keep content current. If there are changes to your course we will, where reasonable, take steps to inform you as appropriate.

Teaching and assessments

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.  

First semester modules introduces business intelligence, analytics and data infrastructure as well as big data applications so that you can gain insights and practice of using business intelligence systems and analytics programming to exploit multidimensional data sets.

In the second semester you are exposed to a variety of data mining techniques and methods available and interpreting the statistical results in relevant problem domains. A further module prepares students to undertake an individual research project. This project module allows you to undertake extensive research into an aspect of big data, and/or provides an opportunity to develop and demonstrate your analytical and processing abilities in response to a given practical problem.

Contact and learning hours

Students will normally attend around 12 hours of timetabled taught sessions each week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation per week.

Graduate careers

This course prepares graduates for business intelligence and data mining roles within any target industry. There is a very high market demand for SAS expertise, and our graduates will be able to take up such opportunities. You will advance your chances to take up more general management and business development roles within industry, and to undertake academic research in this field.

Professional Accreditations

At Ð԰ɵç̨ Leicester this programme is accredited by the below-mentioned bodies. Students starting at Ð԰ɵç̨ Dubai then transferring to Ð԰ɵç̨ Leicester to complete their studies may be eligible to achieve the UK professional accreditations associated with this programme: contact us to find out more.

Industry Association

The Data Analytics MSc was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 counties. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalisation.