Masters in Business Analytics

Masters in Business Analytics


The Aston University online masters in business analytics prepare students for analytics roles through practical business applications, real-life business experience with today's most in-demand technologies, and relevant case studies. The program is an excellent fit for professionals in entry-level analytical and project management roles. The curriculum is designed to help students develop a clear understanding of the three types of data analytics – descriptive, predictive, and prescriptive. Students will learn to:

  • Apply predictive analytics methods to anticipate patterns, estimate potential outcomes and model scenarios for a range of business needs
  • Use descriptive analytics to extract meaningful information from large amounts of data and visualize findings for ease of understanding
  • Evaluate and Assess: Use descriptive analytics to extract useful information from large amounts of data and visualize findings for ease of understanding
  • Guide business decision-making through prescriptive analytics that quantifies future outcomes with actionable data
  • Develop as a Professional: Build necessary skills in communication, presentation, consultation, and business dynamics while also establishing leadership behaviors
  • The business analytics degree is relevant to multiple industries, including information technology, accounting and finance, business and administration, marketing, advertising, human resources, and sales

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How is Aston's Online Master of Business Analytics Different?​

  • Affordable program - Aston offers a high-quality education that's available to students at a lower cost than many other traditional business programs.
  • Powerful network - Aston University's online business analytics masters provides a strong connection to business and industry.
  • Outstanding curriculum - The curriculum is developed by academics with a wealth of international industry experience and connections.
  • Real-world experience - You will get the opportunity to work on real-life projects, collaborate, solve problems, and gain relevant industry experience.
  • Be industry-ready - The program will prepare you to manage organizations, and lead teams efficiently. You will gain an international perspective and learn how to create new business and career opportunities in a connected world.

International students must meet English language requirements. You may be eligible for an English proficiency waiver. Contact us for further information on how you can take advantage of our waiver policy.

We are offering a limited £7,400 scholarship to international students for the MSc Business Analytics programme.

Masters in Business Analytics Fast Facts

  • Recognition of Prior Learning (RPL) - The duration of your course is dependent on your previous education levels and your work. This could reduce the number of subjects you study to gain your masters degree. Call our Enrollment team to discuss your options.
  • 100% online and flexible - Our courses are delivered 100% online, on any device. Maintain work, family, and other commitments without the hassle of a fixed timetable.
  • Success coaching and support - You will receive individualized support from a Student Support Advisor.

Masters in Business Analytics Admission Requirements

  • A good UK honors degree or an equivalent overseas degree recognized by Aston University
  • An undergraduate degree preferred to be in one of the following disciplines:
    • Mathematics
    • Statistics
    • Computer Science
    • Data Science
    • Engineering
    • Physics
    • Economics
    • Business
    • Accounting
    • A quantitative social science
  • If applicants don’t have any of the above degrees or quantitative modules, Aston may also consider applicants with relevant work experience or alternative quantitative qualifications.
Alternative entry routes may be considered:
  • Relevant recent work experience (minimum of one year in a relevant field) – résumé required (also known as a CV)
  • Prior experience in programming languages such as R and Python

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Masters in Business Analytics Curriculum

Below is the list of courses you will study during the online Business Analytics degree:

Big Data for Decision Making

Examine large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other information for effective managerial business decision making. Learn to employ Big Data software packages, machine-learning algorithms, text analytics, and predictive modeling.

Data Mining and Web Analytics

Explore data mining techniques and how they can be used to reveal data patterns, regularities, and trends. Develop an understanding of the data available on the web and its value to business intelligence by applying data mining methods to solve real-world problems.

Business Analytics in Practice

Explore and learn how to apply predictive business analytics techniques, advanced statistical models, marketing models and financial analytics that drive a better-informed decision-making process.

Decision Models

Use modeling concepts to turn real-world problems into mathematical and spreadsheet models that be used for scenario-testing and aid in rational decision-making across many business scenarios. Topics include linear programming, integer programming, decision trees, multi-objective decision making and more.

Descriptive Analytics

Learn about descriptive and inferential statistical methods for extracting and presenting meaningful information from data and develop the most effective visualization techniques (e.g. dashboards and infographics) for displaying and summarizing information.

Effective Management Consultancy

Understand different approaches to best-practice consulting including Hard and Soft Systems methodology and how to complete successful consulting projects – either as an external investigator or line manager. Understand how to structure problems and explore the realities and characteristics of today’s consulting industry.

Performance Analytics

Use analytical methods such as Data Envelopment Analysis (DEA) and advanced econometrics models such as Stochastic Frontier Analysis to derive benchmarks, targets and measures of efficiency and productivity in complex multi-output/multi-input environments. Develop use of specialized software to carry out comparative efficiency assessment.

Software for Analytics

Learn the basic skills and tools needed to develop software solutions to analyze Big Data. Grow as a data analytics expert through hands-on work with established programming languages such as R and Python.

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