Why choose MSc Business Analytics?

MSc Business Analytics alumni, Dipayan Das, talks us through his reasoning for choosing WBS, how the MSc helped his future career aspirations and advice for future MSc students.

I decided to pursue an MSc in Business Analytics at Warwick Business School because of the university's strong global reputation and its educational framework balancing theoretical and practical learning. The course offered a comprehensive approach to analytics, covering descriptive, predictive, and prescriptive methods using tools like Power BI, Tableau, IBM SPSS, R, and Python.

Modules such as Price and Revenue Management and Operational Research Modelling helped me understand how to apply analytics in real-world business settings. This practical application, combined with theoretical grounding, gave me the confidence to tackle complex data problems.

I was particularly drawn to the course’s focus on quantitative skills, where we learned to draw insights from large data sets and apply them to business problems. This was essential preparation for working in data-driven environments, where actionable insights are key to decision-making.

How my MSc enhanced my career

The MSc course was key in securing my role as a consultant at JMAN Group, a technology-enabled management consultancy. At JMAN, we work with diverse clients, including private equity and investor communities, to solve complex business problems using analytics and data science.

The practical, hands-on nature of the MSc Business Analytics at WBS helped me develop the technical expertise and business understanding that JMAN looks for. The training in R, Python, and SQL, combined with an understanding of business models and decision-making processes, made me well-equipped to work at JMAN.

Our projects at JMAN involve creating actionable insights using data, and my background from WBS gave me the right toolkit to do this effectively. The course’s focus on integrating data with business strategy aligned perfectly with JMAN’s approach to blending commercial acumen with analytics to drive better business decisions.

My role at JMAN Group

At JMAN Group, my work revolves around helping clients extract value from data by building data-driven solutions that are both actionable and scalable. We work with companies of all sizes, from large corporations to start-ups, and in doing so, we deliver solutions that combine data science, analytics, and technology.

One of the key aspects of my role is to not only provide insights from data but to also help implement strategies that enable long-term business growth. For example, we help clients develop their core reporting suite, fact based go to market and pricing strategies and help set up their data architecture needed to foster long-term growth and innovation.

The skills I gained at WBS—particularly in data visualisation, predictive modelling, and optimisation techniques—are crucial in my day-to-day work. I’m able to take large data sets, extract meaningful insights, and deliver them in ways that are impactful for business decision-makers.

Being part of such a dynamic and problem-solving environment has continuously challenged me to adapt and grow as a professional.

Looking to the future

I aim to leverage the knowledge and skills gained from both my education and professional experience to drive meaningful impact in the operations and strategy domain. By integrating data-driven insights with commercial expertise, I aspire to help companies unlock value and optimise their business strategies.

My focus is on driving operational improvements and enhancing strategic decision-making across various sectors. In the long term, I hope to apply these skills to work with organisations focused on social impact, enabling them to achieve sustainable growth and meaningful change.

Advice for future MSc students

For anyone considering an MSc in Business Analytics at WBS, I highly recommend it. The course not only provides a strong foundation in the technical aspects of analytics but also focuses on applying these skills in practical, real-world settings.

One of the key takeaways from the course is how to balance the technical and business aspects of data analytics. Whether you’re working on predictive models or business strategy, the ability to apply data to decision-making is crucial.

Make the most of the opportunities to work with tools like Power BI, R, Python, and SQL, and engage with the diverse community at WBS, as it provides invaluable learning experiences from different perspectives.

My time at WBS gave me the foundation to transition seamlessly into my job role, and I’m grateful for the experience and excited about the future of data analytics.