Programmes
Data Science & Business Analytics
These programmes are becoming increasingly popular degrees worldwide in response to the rapidly-growing demand from private and public sectors alike. Our Data Science & Business Analytics Bachelor’s prepares you for exciting careers at the frontier of technology and strategy.
Why choose Data Science & Business Analytics?
In an age where data drives decisions, a Bachelor’s degree in Data Science and Business Analytics empowers students with the skills to analyze complex datasets and derive actionable insights. As businesses and industries shift towards a data-driven future, acquiring these skills will not only make you invaluable but also open doors to a wide range of career opportunities. Embark on this transformative degree to stay at the cutting edge of technological and business developments, positioning yourself as a catalyst for innovation and strategic growth across any industry. Embrace the future and become the bridge between data and the decisions that will shape tomorrow.
Programmes
with a major in Data Science & Business Analytics
Students who are:
- Interested in data, business, or technology
- Looking to combine analytical skills with real-world decision-making
- Natural problem-solvers who enjoy working with numbers and data
- Aiming for careers in data science, consulting, or analytics
- Drawn to interactive, hands-on learning over large lectures
- Data Analysis Techniques: Master methods to collect, process, and analyse large datasets for actionable insights.
- Analytical Tools Proficiency: Develop skills in using advanced data analytics tools and software.
- Data Ethics & Responsibility: Understand ethical considerations and responsible data use in business settings.
- Predictive Analytics: Apply forecasting techniques to anticipate trends and guide decision-making.
- Interdisciplinary Insight: Develop broad knowledge at the intersection of data science and business strategy.
Forward College Bachelor’s tuition programme includes:
- 100% small group teaching (on average 15 students per class)
- One-on-one tutoring for individualised feedback and guidance
- Frequent evaluations to track your progress throughout the year and ensure your success at the final exams
- Induction programme where you will better understand your learning style and adopt the most relevant learning methods for you
Job Market
Our Bachelor’s in Data Science & Business Analytics equips students with valuable analytical, technical, and strategic decision-making skills, opening doors to a wide range of career opportunities at the intersection of business and data.
Graduates commonly go on to work at leading international companies such as EY, PwC, TNP Consulting GmbH, Analysys Mason, Amazon, L’Oréal, Henkel, as well as start-ups like Zypp – Data into Value and Carbmee.
Popular career paths include:
Data & Business Analytics: Data Analyst, Business Intelligence Analyst, Data Consultant
Consulting & Advisory: Strategy Consultant, Management Consultant, Digital Transformation Consultant
Finance & Investment: Financial Analyst, Risk Analyst, Investment Associate
Marketing & Strategy: Data-Driven Marketing Analyst, Market Research Analyst, Business Development Manager
Operations & Supply Chain Analytics: Operations Analyst, Supply Chain Data Specialist, Project Manager
Master’s Opportunities
Many students also pursue further study, receiving offers from leading international institutions such as:
- Columbia
- Georgia Tech
- Minerva University
- ESCP
Popular postgraduate fields include: data science, business analytics, business management, finance, economics, international relations, and public policy.
Some of the Companies where our graduates work
What sets this programme apart?
World class Bachelor’s
designed by the LSE
International
3 years, 3 countries, 100% international students
High quality teaching
100% small classes (~15 students)
Leadership programme
Entrepreneurship, Digital skills, Soft skills
Pathway to top master’s
76%* admitted in a top 10 European university or Business School
Meet our faculty members for this degree
Dr. Anita Keshmirian
Head of Data Science & Assistant Professor in Psychology
Dr. Andrees Chattha
Associate Professor of Mathematics in Paris
Dr. Marcelo Goncalves De Martino
Assistant Professor in Statistics and Mathematics and Teaching and Learning Coordinator in Lisbon
Dr. Mariana Tavares
Head of Economics
Dr. Haikel Latiff
Head of Business and Management and Teaching and Learning Coordinator in Berlin
Dr. Giacomo Boffi
Assistant Professor in Economics
FAQ
Data Science & Business Analytics students study data analysis, statistical modelling, machine learning, and business strategy to turn data into actionable insights.
Graduates from Data Science & Business Analytics can pursue roles such as data analyst, business analyst, consultant, or work in industries like finance, technology, and marketing.
Data Science & Business Analytics combines both, focusing on how data analysis supports business decision-making.
Data Science & Business Analytics students develop analytical, technical, and strategic thinking skills, including working with data tools and interpreting complex datasets.
Yes, data science skills are in high demand as organisations increasingly rely on data to guide decisions.
Yes, Data Science & Business Analytics prepares students for postgraduate studies in data science, business analytics, finance, and related fields.
Many of our Data Science & Business Analytics graduates continue their studies at leading universities, including Columbia University, Georgia Institute of Technology (Georgia Tech), Duke, UCLA, MIT, Minerva University and ESCP Business School. Others begin their careers at international companies such as EY, PwC, Amazon, L’Oréal, Henkel and innovative start-ups including Zypp – Data into Value and Carbmee.
For Data Science and Business Analytics, average weekly contact time varies by pathway, with Bachelor’s students attending 8–10 hours per week, Bachelor’s+ students 12–13 hours, and Double Bachelor’s students 14–15 hours. In addition, all students complete approximately 2 hours of formative assessment per week and attend a 20-minute 1:1 academic tutorial. Students should also expect around 4 hours of self-study time per week, including preparation for formative assessments, regardless of programme.
Typically, classes are scheduled across 4 days per week, although some terms may occasionally include 3 or 5 teaching days.
Students should expect around 2 hours of preparation per course each week, including readings, assignments, and “Learning Cells” group work with 2–3 students.
Yes, the class timetable remains fixed throughout the term. Assessments and tutorials are scheduled in addition to regular classes. The full schedule is shared before the start of the term, while tutorial sessions are booked by students through available fellow time slots.
FAQ
Accreditations and Award
Forward College is a Recognised Teaching Centre of the University of London (UoL). As such, our students are also students of the University of London and will graduate from the University of London […]
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Careers after Forward
Most of our graduates apply to top Master’s around the world either following the academic field they have invested in – with a natural path towards master programmes at LSE and King’s College […]
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