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

Level 200 and 300 courses

  • MT2176 Further Calculus (15 credits) AN
  • MT2175 Further Linear Algebra (15 credits)
  • EC2065 Macroeconomics
  • EC2066 Microeconomics
  • MT2116 Abstract Mathematics

Level 200 and 300 courses

  • EC2020 Elements of Econometrics
  • Any 300 level MT or ST course (or two 15-credit courses) from Recommended optional courses
  • Any 300 level EC course from Recommended optional courses
  • Any 300 level EC, MT or ST course or EM3000 from Recommended optional courses

Recommended optional courses

  • ST3188 Statistical Methods for Market Research
  • EC3016 International Economics
  • EC3115 Monetary Economics
  • EC3120 Mathematical Economics
  • EM3000 Dissertation

Graduate entry route comprises 9 full courses (or equivalent)

  • 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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