Course Highlights

MSc Data Analytics is a 1-Year Full-Time, Masters Level Course, and here are the top reasons to opt for this course.

•  MSc Data Analytics will teach you the core mathematical principles of data analysis and how to apply these to real-world scenarios.
• This programme is highly applied and will feature industry connections to help you put your learning into the context of real-world challenges.
• In this course, you shall be taught by expert academics, including industry practitioners - many of them are Fellows of the Alan Turing Institute.
• This course is ideal for you if you are interested in problem-solving and understanding probability or statistics.
• With this course, you shall understand and apply concepts like Big-Data Analysis, Data-mining, Data-driven Decision-making, Cognitive Analytics, and much more.
• This course is suitable for graduates from mathematical/numerate degree subjects, such as maths, statistics, physics, engineering, economics, and computer science.
• QMUL has invested £105m in new facilities to offer students an exceptional learning environment over the past five years. 
• You will learn from esteemed Queen Mary Institute of Applied Data Science members and attend lectures and seminars run by the Institute.
• Research in the School of Mathematical Sciences covers a diverse range of pure and applied mathematics subjects and is consolidated into research groups reflecting the school's key strengths.
• In the most recent Research Excellence Framework (REF 2014), Queen Mary University ranked 9th in the UK among multi-faculty universities and 5th for research outputs.
• The University holds a university-level Silver Award for the Athena SWAN Charter, which recognizes and celebrates good employment practice for women working in mathematics, science, engineering, and technology in higher education and research.

Course Eligibility

Key Eligibility Requirements: MSc Data Analytics

• Bachelors - The minimum entry requirement is a 2.1 Honours degree (Minimum 60% average) from selected institutions in a subject with substantial mathematical content.
• Relevant subjects include Mathematics, Statistics, Physics, Engineering, Economics, and Computer Science.
• Offer conditions will vary depending on the institution you're applying from.
• For India, offers may be made on the GPA scale.
• We do not consider the Bachelor of Vocation (B. Voc.) for Masters entry.
• Candidates with relevant work experience and good academic potential are also encouraged to apply for this programme.
• The criteria for selecting the students is the sole discretion of the university as per their guidelines.

 Exams: English language requirements

•  IELTS grade: An IELTS score of 6.5 overall, including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking or an equivalent acceptable international qualification*

Course Fees

Course Fees: MSc Data Analytics - For the intake 2022-23

Note: 

• The above values are approximate and are subject to change.
• The hostel charges may vary depending on the choice of accommodation opted by the student.
• The above-mentioned fees and expenses are only for the 1st Year of the course duration.

Career Prospects

• Companies seek highly numerate data experts in this data-driven economy who can use statistical techniques and the latest technologies to extract clear insights for informing every aspect of the strategy and operations. 
• From financial corporations to AI start-ups, and across the technology, retail, and healthcare industries, highly sought-after data scientists can earn £55,000 per year on average (UK figures from Indeed).

Key Learnings

• You will learn primarily through a combination of lectures and tutorials, in addition to a significant amount of independent study and research.
• You will be assigned an Academic Adviser who will guide you throughout your time at Queen Mary. 
• The School of Mathematical Sciences also has a dedicated Student Support Officer to provide you with advice and guidance, focusing on non-academic issues.
• You may choose to focus your studies in one of three areas: the statistical foundations, financial or scientific applications of data science.
• You will explore a variety of industry-standard tools (such as Python), which will allow you to choose which technologies you want to specialize in.
• Students have the opportunity to take the Microsoft Office Specialist qualification, which includes valuable expertise in Excel.
• You can access Queen Mary’s comprehensive libraries as well as their excellent facilities.
• You will be asked to work on a combination of practical assignments, assessment, assessment of data analysis portfolio, and a dissertation.

Study Benefits

• Recent developments include the £39m Graduate Centre, providing 7,700 square meters of learning and teaching space.
• The University has invested approximately £18 million in the School of Mathematical Sciences building with high-quality teaching rooms, private and group study areas, and a new social hub. 
• The School of Mathematical Sciences holds its own department-level Athena Swan Bronze award. 
• You will have access to a shared office and dedicated computer lab with Bloomberg terminals for MSc students.
• You may choose to access the library, which is home to 8,000 mathematical books and subscriptions to many mathematical journals.
• There is ample on-campus accommodation for all new full-time postgraduate students from outside London.
• Teaching is based at Queen Mary's Mile End campus, one of the largest self-contained residential campuses in the capital of the United Kingdom. The location in the heart of London's East End offers a rich cultural environment.
• The campus is 15 minutes by tube from Central London, where a student will access the University's other facilities such as Senate House.

Core Modules

1st Semester 

You will learn the core fundamentals of data analytics, machine learning, and data analysis statistics, together with some of the relevant technologies.

Compulsory Modules 

• Storing, Manipulating and Visualising Data

• Machine Learning with Python

• Probability and Statistics for Data Analytics

• Project Dissertation

Research Project: Dissertation

One-third of your assessment in the MSc will be the successful completion of a research project which will allow you to develop strong applied data science research skills. 

Examples of Possible Projects

• Time series analysis
• Exploratory data analysis on a dataset
• Performance and comparative analysis of state-of-the-art techniques
• Theoretical models of data
• Complex systems
• Dynamical systems
• Topological data analysis
• Experimental design with Data 
• Statistical aspects of data analytics techniques

Optional Modules

You will choose from module options that explore financial, business, and scientific applications, such as trading and risk systems, optimization of business processes, and relationships across complex systems. You will be selecting five elective modules from the 12 options.

Optional Modules

• Topics in Scientific Computing
• Financial Data Analysis
• Advanced Machine Learning
• Machine Learning in Python
• Neural Networks and Deep Learning
• Programming in Python
• Optimisation for Business Processes
• SAS for Business Intelligence
• Time Series
• Computational Statistics with R
• Bayesian Statistics

Scholarships

Queen Mary Global Excellence Scholarships (PG)

• The Queen Mary Global Excellence Scholarships (PG) are scholarships worth £2,000 for students entering a UK first-class degree (or international equivalent) in the Faculty of Science and Engineering. 
• This is intended to attract the most talented students from around the world.

Important Details

• No requirement of a separate application for the Queen Mary Global Excellence Scholarship. 
• Students will be considered for an award based on the information they provide in their online application to QMUL. 
• Successful candidates will be informed about the scholarship via email notification from the Science and Engineering Faculty Office.

Chevening Awards 

• Queen Mary works closely with the Chevening - the UK government's international scheme to develop global leaders.
• They provide full scholarships for studying one-year master programme to the postgraduate students.

Important Details

• All Chevening awards cover total overseas tuition fees and provide a stipend for living costs, airfares, and various other expenses to the students.
• Applications for all scholarships must be made directly to Chevening, and complete details are available on their website.
• The applications for September 2022 are open now on their website.

Queen Mary Alumni Loyalty Award 

• The Queen Mary Alumni Loyalty Award is a £1000 award open to all Queen Mary graduates enrolling for a postgraduate degree programme except those rewarded with full scholarships.

Important Details

• £1000 or 20% discount depending on the programme of study.
• Anyone undertaking an undergraduate or postgraduate degree at the Queen Mary University of London is eligible for this scholarship.
• This discount is automatically applied upon enrolment.

Commonwealth Master's Scholarships

•  The Commonwealth Master's Scholarships are 100 % tuition fee scholarships for candidates from low- and middle-income Commonwealth countries for full-time study at a UK university.

Important Details

• You must also apply to QMUL for admission to the Masters's programme and make an application for the scholarship. 
• Queen Mary does not influence their selection procedure and timelines. 
• The Scholarship was Co-founded by Queen Mary and the UK Department for International Development (DFID). 
• Applicants must be domiciled in one of the eligible countries. (Antigua and Barbuda, Belize, Botswana, Dominica, Eswatini, Fiji, Ghana, Grenada, Guyana, India, Jamaica, Mauritius, Montserrat, Namibia, Nauru, Papua New Guinea, Rwanda, Samoa, South Africa, Sri Lanka, St Helena, St Lucia, Tonga, Tuvalu, Vanuatu)

Children of Alumni Loyalty Award 

The Children of Alumni Loyalty Award is for children of international alumni enrolling for a full-time programme for 1000 pounds with self-funding criteria.

Important Details

• Should be enrolling for a full Bachelors, Master's, or Doctoral degree
• They should be a child of Queen Mary alumnus
• Should pay at least £1000 of your fees (i.e., not total sponsored)
• Should be an overseas fee payer