The BSc Mathematics and Economics programme at RIC blends mathematical rigour with economic theory, preparing students for analytical roles in various industries. You’ll study units like Mathematical Statistics, Microeconomics, Macroeconomics, and Abstract Mathematics, gaining essential quantitative and analytical skills.

Academic Direction

At RIC, our students benefit from academic direction provided by prestigious institutions such as the London School of Economics and Political Science, University College London, and King’s College London, among others. This collaboration ensures access to top-tier resources, leading experts, and cutting-edge research, enriching their educational experience and enhancing academic outcomes.

  • Applicant must hold at least 5 grades A – C at Ordinary Level, and 3 grades A – E at Advanced Level or equivalent.
  • This should include Ordinary Level Mathematics grade C or equivalent
  • Advanced Level Mathematics required
  • Pass the internal Admission Test and interview

Level 100 courses

  • EC1002 Introduction to economics
  • MT1173 Algebra
  • MT1174 Calculus
  • ST1215 Introduction to mathematical statistics
    OR
    ST104a Statistics 1 (half course) AND ST104b Statistics 2 (half course)

Level 200 and 300 courses

  • EC2066 Microeconomics
  • EC2065 Macroeconomics
  • MT2116 Abstract Mathematics
  • MT2176 Further calculus (half course
    AND
    MT2175 Further linear algebra (half course)

Level 200 and 300 courses

  • EC2020 Elements of econometrics
    OR
    EC3016 International economics
    OR
    EC3115 Monetary economics
    OR
    EC3120 Mathematical economics
  • One 300 course (or two half courses from selection group N
  • One 300 course from selection group E
  • One 200 or 300 course (or two half courses from Selection groups E or N)

Recommended optional courses

  • ST2133 Advanced statistics: distribution theory (half course) and ST2134 Advanced statistics: statistical inference (half course)
  • MT3095 Further mathematics for economists
  • IR3026 International political economy
  • ST2195 Programming for data science
  • ST3189 Machine learning
  • ST2187 Business analytics, applied modelling and prediction

  • Data scientist/Data engineer/ Data analyst
  • Artificial Intelligence application developer
  • Algorithm specialist
  • Big data engineer
  • Machine learning scientist/ Machine learning engineer
  • Business intelligence developer
  • Research scientist
  • Security analyst

*This list is non-exhaustive

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