Virtual Open Day

Ready to take your career to the next level with in-demand data and econometrics expertise?

Join us online to explore next-gen remote postgraduate programmes in Data Science & Econometrics, designed to help you build real-world analytical skills, flexibly, affordably, and from anywhere in the world.

Delivered in partnership with Lancaster University Management School, our programs are delivered by top academics and practitioners with one-to-one support allowing you to master ecobnometric machine learning and unlock new career pathways. You’ll get insider insights on:

Our MSc in Applied Econometrics is officially accredited by the International Institute of Forecasters (IIF)—a mark of quality that reflects both academic rigour and real-world relevance in forecasting education.

You’ll study with a Top 10 UK Economics Department (The Times & Sunday Times 2024) at a university ranked among the Top 150 worldwide (QS World University Rankings 2025), gaining advanced skills aligned with global standards. Whether you're working in finance, policy, or analytics, the IIF accreditation and academic reputation of Lancaster University provide a powerful edge in today’s competitive job market.

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Explore how Timberlake’s postgraduate programmes in applied econometrics and data science can help shape your future—on your terms. You can register for the next live Virtual Open Day, typically held around two months before each term begins, or request access to a recorded session if you prefer to watch on your own schedule.

Meet course leaders, discover our flexible study model, and gain insight into topics like causal inference, forecasting, and machine learning. Each session also includes a Q&A, covering admissions, accreditation, and software training—helping you decide if our buildable, online MSc pathways are right for you.

Applied Econometrics

• Gain the statistical and analytical skills to make evidence-based decisions in economics, policy, and business.
• Study 100% online with the flexibility to fit your schedule.
• Learn by doing through hands-on training in Stata.
• Work with cross-sectional, time series, and panel data.
• Master core techniques including regression analysis, machine learning, causal inference, and forecasting.
• Ideal for professionals looking to upskill or pivot into econometrics-focused roles across sectors.

Data Science & Econometrics

• Combine machine learning with classical econometric methods for a modern analytical toolkit.
• Focus on practical, code-based training in Python, and Stata.
• Tackle real-world problems using high-dimensional data and predictive modelling.
• Build confidence in handling complex datasets with theoretical and technical rigour.
• Designed for analysts, economists, and professionals transitioning into data-driven roles.
• Perfect for those seeking to amplify their impact with data-backed insights.

Life happens — and we believe your education should be able to adapt. That’s why all our postgraduate programmes are structured as buildable qualifications. If you’re unable to complete the full MSc, you can still earn a recognised qualification based on the credits you’ve gained so far, such as a Postgraduate Certificate or Postgraduate Diploma.

Each qualification carries a clear credit requirement and maximum time for completion. For example, a PG Certificate typically takes one year or less, while the full MSc can be completed over a maximum of three years. This stackable design ensures that your progress counts, offering recognition and value at every step of your learning journey.

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Our students come from diverse backgrounds—academics, policymakers, finance professionals—and consistently praise the programmes for their flexibility, practical focus, and expert instruction. Many highlight how the skills they gained in Stata, R, and Python translated directly into their careers.

Whether it's using econometrics in central bank analysis, pivoting into data science, or progressing to PhD-level research, our alumni value the supportive learning environment, high-quality teaching, and the opportunity to balance study with work and life. These are programmes that don’t just teach—they transform.

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