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The BSc degree in Statistics provides students with the principles and theory of Statistics and also allows them to develop skills in data collection, handling, and analysis. This programme also allows students to minor or double-major in complementary disciplines such as Demography and Economics with provides applications of the statistical techniques acquired. Graduates from this programme are equipped to pursue higher degrees in Social and Business Statistics as well as areas requiring strong quantitative and statistical skills such as demography, finance, and business analytics.


  • Teach students the theoretical and practical skills needed in the world of data analysis.
  • Develop students’ statistical understanding so that they will be able to infer useful information from data in any field.
  • Develop students an appreciation for both the power and limitations of statistical information.
  • Expose students to key areas such as sampling methods, statistical methods, statistical computing and estimation, and inference.

Admission Requirements

CXC (at least grade III) or GCE O’ Level passes in Mathematics and English Language plus three other subjects. In addition, applicants must have at least one of the following:

  • CAPE (Units 1 and 2) or GCE A’ Level passes in at least two subjects.
  • An Associate degree, Diploma and/or Certificate from other approved tertiary institutions having attained a B+ average or a minimum GPA of 2.5.
  • High School Grade 12 transcript with a minimum GPA of 3.0 and a minimum SAT I score of     1700 plus a minimum of two (2) SAT II subjects at a score of 500 or above or successful completion of Advanced Placement Courses or the International Baccalaureate programme.

Recommended Registration

Level I

Semester I

    • ECON1000: Principles of Economics I
    • ECON1003: Mathematics for the Social Sciences I
    • ECON1005: Introduction to Statistics
    • FOUN1013: Critical Reading and Writing in the Social Sciences
    • FOUN1101: Caribbean Civilization

Semester II

    • ECON1012: Principles of Economics II
    • ECON1004: Mathematics for the Social Sciences II
    • FOUN1201: Science, Medicine, and Technology in Society
    • Level I Electives
    • Level I Electives

Level II

Semester I

    • ECON2008: Statistical Methods I
    • ECON2014: Sampling Methods for Business and Social Sciences
    • ECON2015: Matrix Algebra for Business and Social Sciences
    • Free Elective One
    • Free Elective Two

Semester II

    • ECON2009: Statistical Methods II
    • ECON2010: Statistical Computing
    • Free Elective Three
    • Free Elective Four
    • Free Elective Five

Level III

Semester I

    • ECON3031: Probability and Distribution Theory for Business and Social Sciences
    • Statistics Level III Elective One
    • Statistics Level III Elective Two
    • Free Elective Six
    • Free Elective Seven

Semester II

    • ECON3032: Statistical Estimation and Inference for Business and Social Sciences
    • Statistics Level III Elective Three
    • Free Elective Eight
    • Free Elective Nine
    • Free Elective Ten

*For the purpose of selection, the following are considered as Statistics Electives:

  • ECON3003: Game Theory
  • ECON3037: Operations Research
  • ECON3050: Applied Econometrics
  • ECON3040: Non-Parametric Statistics
  • SOCI3018: Demography I
  • SOCI3021: Demography II
  • STAT2001: Inferential Statistics
  • STAT2002: Discrete Statistics
  • STAT2003: Linear Models
  • STAT2004: Multivariate Methods
  • STAT3001: Regression Analysis
  • STAT3002: Time Series
  • STAT3003: Design & Analysis Experiments

Career Path

A wealth of opportunities presents itself for those with a Statistics degree, providing graduates with professional flexibility in a variety of challenging and rewarding careers. Many advances within the field becoming statistical specialists or possibly move into academia. Others move into an application area such as Budget Analysis, Market Research Analysis, Risk Analysis, and many management positions. Career opportunities exist in nearly all sectors. And with the increasing digitization of the world because as more activities move onto a software platform, the growth of data to be analyzed for useful information constantly grows and along with it, the need for statisticians.




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