Master of Science in Data Analytics

Teachout

May 2025

Duration

12 Months (Part Time)

Mode

Blended Learning

Assessment

Quiz & Coursework

Master of Science in Data Analytics

Awarded by London Metropolitan University (UK)

Course Overview

Data is now a critical part of every business. To thrive in today’s business landscape, it is crucial to learn how to leverage and analyze data to make critical business decisions.

The Master of Science in Data Analytics aims to provide a deep knowledge of the techniques and unique issues surrounding the emerging use of data for analytics, decision-making, and monitoring within real-world contexts. If you are keen to stay ahead of the curve, both in your role and in your industry, then this is the program for you.

Ranked 13th in London for Computer Science & Information Systems*

*The Guardian University League Tables 2021

Developing Future Technologists & Data Experts

Proud Academic Tradition of over 172 years.

Best 1000 universities in the world

QS World University Rankings 20220

Career Opportunities

Upon completion of the course, you’ll be well equipped to work in some of the fastest growing sectors of the data science and big data industries. A wide range of career opportunities will be open to you in the commercial, public and financial sectors, especially in areas requiring big data analysis such as consumer, healthcare, scientific, financial, security intelligence, business and social sciences.

Our data analytics graduates have gone on to secure exciting roles in diverse sectors including fintech, transportation, healthcare, research, environmental and education. The job roles range from Data engineer, Analytics manager, Data solution developer, Data analyst, Python developer.

Our MSc Data Analytics programme will equip you to work in some of the fastest-growing sectors of data science and big data industries. A wide range of career opportunities will be open to you.

Possible future career options include that of

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Why Choose Aventis ?

Gain access to an outstanding education built on Aventis' 15 years of exceptional global reputation in graduate education. Earn a qualification from a graduate school that you can trust and respect.

Aventis is one of only 4 Business Schools in Singapore that is a member of the Executive MBA Council, the World’s Leading Body that champions advancement in MBA. Other members include the National University of Singapore, (NUS), Singapore Management University (SMU), and Nanyang Technological University (NTU)

Aventis is one of only 8 Business Schools in Singapore that is part of the AACSB International Business Education Alliance. Other members includes Singapore University of Social Science (SUSS), National University of Singapore (NUS) and Singapore Management University (SMU)

What Will You Learn?

The Masters of Data Analytics will equip you with in-demand skills including data mining, statistical modelling, data warehousing, business intelligence, and data visualization. The course has been developed with direct input from industry experts who will present you with real-life business cases as part of your work-related learning. By the end of the MSc degree, you’ll be ready to apply for rewarding roles in business analytics, data science, and big data industries, as well as the many sectors and organisations that increasingly require data analysts.

  • Learn the concepts of Python programming, SQL, and data analytics to validate solutions and unlock insights for business outcomes
  • Studying this Data Analytics MSc will see you gain exposure to key industry resources and real-life business case scenarios
  • Learn statistical modelling, SAS® and SPSS experience, data visualisation and data-driven decision-making
  • Apply what you’ve learned to create a capstone project solving a real-world data problem
Data Mining For Business Intelligence

Provides an appreciation of data mining concepts, techniques, and processes for business intelligence. It covers data mining techniques for both supervised learning (decision tree, logistic regression, and neural network models) and unsupervised learning (cluster and association analyses). It is designed to help equip the students with practical skills in applying data mining techniques in a modern business environment.

Data Modelling And OLAP Techniques For Data Analytics

Provides an introduction to relational data modeling and multidimensional data modeling techniques for data analytics. It enables students to acquire skills in advanced SQL and OLAP operations (OLAP cube, rollup, drill-down, slice and dice, and pivot). The module is designed to help students with practical skills in preparing data for analysis, which usually takes 50%–70% of the total data analytical project time. Big Data analytics platforms will also be introduced.

Programming For Data Analytics

Develops students’ foundation of programming principles through the introduction of application programming for data analytics. The module covers common programming data structures, flow controls, data input and output, and error handling. In particular, the module places emphasis on data manipulation and presentation for data analysis. A substantial practical element is integrated into the module to enable students to use a programming language (e.g. Python) to prepare data for analysis and develop data analytical applications.

Data Analysis And Visualization

Explores fundamental concepts for analysing and visualising data. The module covers descriptive statistics for exploratory data analysis, correlation analysis, and linear regression models. Graph and text data analysis techniques for web and big data, reporting the results and presenting the data with visualisation techniques are also discussed. A substantial practical element is integrated into the module to enable students to apply data analysis and visualisation techniques to real-world data problems.

Statistical Modelling And Forecasting

Introduces students to modern statistical modelling techniques and how those techniques can be used for prediction and forecasting. Throughout the statistical environment and software, R will be used in conjunction with relevant statistical libraries. The module will introduce modern regression techniques (including smoothing), discuss different model selection techniques (including the classical statistical hypothesis), and how those techniques can be used for prediction purposes.

introduceS students to modern statistical modelling techniques and how those techniques can be used for prediction and forecasting. Throughout the statistical environment and software, R will be used in conjunction with relevant statistical libraries. The module will introduce modern regression techniques (including smoothing), discuss different model selection techniques (including the classical statistical hypothesis), and how those techniques can be used for prediction purposes.

MSc Project

Provides students with the experience of planning and bringing to fruition a major piece of individual work. Also, the module aims to encourage and reward individual inventiveness and application of effort through working on research or company/local government projects. The project is an exercise that may take a variety of forms depending on the nature of the project and the subject area.

Programme Structure

Structured around the work commitments and priorities of working professionals, the 12 Months Part-Time London Metropolitan MSc Data Analytics includes 6 modules and a project. The course is assessed in a number of ways, including written reports, practical and research assignments, demonstrations, presentations, group work, and examinations.

Start Date

13 My 2025

Duration

12 Months Part Time

Time

09:00am - 05:30pm

Programme Delivery

Each module is delivered over two consecutive full weekends per month by qualified academics with extensive years of professional practice experience. You will learn through the means of interactive lectures, experiential skill workshops, and group discussions/role plays.

SatSunSatSun
9am to 5:30pm9am to 5:30pm9am to 5:30pm9am to 5:30pm

Admission Criteria

Participants are expected to contribute to the class learning experiences in a cohort and peer learning environment. You will be assessed based on experience, aptitude, potential, and skills.

A 2.2 UK first degree or equivalent in any discipline that involves an element of data analysis (Applicants with relevant professional experience will also be considered)

OR

Mature candidates above 30 years with a minimum of 8 years working experience may be considered on a case to case basis.

&

Applicants are required to demonstrate the ability to study in English; IELTS 6.0 overall with 5.5 in each component or equivalent.

Degree Awarded

You will be awarded a Master of Science in Data Analytics degree by London Metropolitan University, the same as that awarded on-campus. You have the choice to graduate in Singapore or London.

Same degree as on campus

Choice of graduation in Singapore or London

Success Stories

"My experience working on this project has greatly improved my skills in reporting, working with data, and research; performing analysis on the quality of data; and visualising results using various libraries in Python. I plan to help businesses improve their insights by analyzing any existing records or data, preparing a predictive model, and building analytical solutions using various tools and techniques."
Mr. Subeksha
Data Scientist, Glob
“We were incredibly lucky to make use of London Met’s placement scheme. This was a real asset to the firm. We are looking forward to working with London Metropolitan again.”
Ms. Maya
Managing Partner at Coniston Peak

Frequently Asked Questions

What are the benefits of pursuing a Part-time Masters?

One of the biggest benefits of pursuing a part-time Masters is having the flexibility to continue working. Most students at Aventis are working professionals, and our part-time Masters in Singapore allow them to progress in their careers without sacrificing their studies. Students can also study at their own pace and build a professional network simultaneously.

Does Part-time Masters help in Career and Salary ?

Earning a Masters can certainly increase your earning potential. According to a survey conducted by the Graduate Management Admission Council (GMAC), the median base salary for recent Masters graduates in the United States was $115,000 in 2020, compared to $85,000 for those with just a bachelor's degree.

However, the impact a Masters has on salary can depend on several factors, including the industry, location, and job function. Besides salary increment or promotion, a Masters can help you develop valuable skills and knowledge that can be applied to a variety of industries and roles, making you a more desirable candidate for high-paying positions. But it's worth noting that a Masters program can be expensive, and you should carefully consider the potential return on investment before committing to one.

What is the difference between a Part-time Masters and a Full-time Masters?

Full-time Masters tend to be more academically rigorous but take place for only two years. As such, the programme does not accommodate working schedules. On the other hand, part-time Masters are less competitive and grant more flexibility and freedom for working students. Singapore Part-time Masters are typically completed in three years.

Why should I pursue a Part-time Masters in Singapore with Aventis-London Metropolitan University?

Pursuing a part-time Masters with Aventis-London Metropolitan University will provide a rewarding academic experience. Recognised in The Times and Sunday Times Good University Guide 2023, LMU is ranked ninth in the UK for their teaching quality. LMU Masters  can hone your expertise and knowledge in the business field and prepare you to become a global leader.

Is there a maximum age limit to apply for a Masters degree?

There is no maximum age limit for studying a Masters program. Most Masters programs do not have an upper age limit, and individuals of all ages, including older adults, are eligible to enroll in Masters programs.

Masters programs are designed for professionals with varying levels of work experience, and many Masters students are mid-career professionals or experienced executives seeking to advance their careers or transition into leadership roles. As such, older adults who are interested in pursuing a Masters for personal or career reasons can certainly consider doing so.

Should only individuals interested in leadership roles take up a Masters course?

A Masters is a versatile degree which has diverse specializations and multiple applications in different professional domains. Candidates with a good educational background, excellent communication skills, and creativity can be transformed into valuable resources for different domains and sectors. People from different educational backgrounds can join a Masters program to specialize fields like Finance, Human Resources, Education, Fashion, Information Technology etc. in roles as Analysts, Strategists, Consultants, Developers, Advisors, Start Up Business Founders.

Which is the best Masters program in Singapore?

There is no "best" Masters program as it depends on individual preferences, career goals, and programme delivery preferences.

Each Masters programme comes with its own strengths and benefits.

There are numerous reputable Masters programs offered by renowned Singapore Universities including National University of Singapore and Singapore Management University.

What are the factors to consider when applying for a Masters?

Some factors to consider when determining the best Masters program for you may include:

Reputation: Consider the reputation of the University offering the Masters program. Look for Masters program that are accredited and recognized for their successful track record, academic excellence, faculty expertise, and industry connections.

Curriculum and Assessment: Review the curriculum offered in the Masters program to ensure they align with your career goals and interests. Some programs offer 100% Coursework assessments whilst other program requires examination. So choose a program that offers the right mix of courses and assessment for your needs.

Faculty and Resources: Consider the credentials and experience of the faculty members in the Masters program, as well as the resources available, such as networking opportunities, career services, and access to industry leaders and alumni networks.

Networking & Industry Exposure:  Masters programs that offer exposure to international business, networking opportunities, and access to diverse industries and markets are preferred for most busy working professionals

Cost and Financial Grant: Masters programs is a major financial investment, so consider the cost of tuition, fees and available financial aid options, including scholarships, grants, and loans.

Alumni Success: Look for Masters with a strong track record in Singapore and into the success of the school's alumni and their career trajectories after completing the Masters program. A strong alumni network can provide valuable connections and opportunities for networking and career advancement.

To conclude, It's important to thoroughly research and compare different Masters programs based on your unique needs and goals. Consider visiting campuses, attending information sessions, talking to current students and alumni, and gathering as much information as possible to make an informed decision on which Masters program may be the best fit for you.

What are the available instalment payment schemes?

At Aventis, we offer flexible and affordable instalment payment scheme for our MBA and Master degrees. Instead of a lump sum payment, your tuition fees are payable over 4 instalments over the duration of the programme. You may also apply for an educational loan with our banking partners for monthly repayment.

What's Next?

Take the next step towards your academic success. Download our course brochure, Apply Now or Speak to your dedicated programme advisor Alastair Theng @ 9343 1588 to learn more!

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