Overview
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.
Objectives
- 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 or FOUN1019: Critical Reading and Writing in the Disciplines
- ECON1004: Mathematics for the Social Sciences II
Semester II
- ECON1012: Principles of Economics II
- FOUN1101: Caribbean Civilization or FOUN1201: Science, Medicine, and Technology in Society
- Foreign Language Course
- FREE ELECTIVE ONE
- FREE ELECTIVE TWO
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 LEVEL II/III ONE
- Statistics Elective Level II/ III One
Semester II
- ECON2009: Statistical Methods II
- ECON2010: Statistical Computing
- FREE ELECTIVE LEVEL II/III TWO
- FREE ELECTIVE LEVEL II/ III THREE
- FREE ELECTIVE LEVEL II/III FOUR
Level III
Semester I
- ECON3031: Probability and Distribution Theory for Business and Social Sciences
- STATISTICS ELECTIVE LEVEL II/ III TWO
- FREE ELECTIVE LEVEL II/III FIVE
- FREE ELECTIVE LEVEL II/III SIX
- FREE ELECTIVE LEVEL II/III SEVEN
Semester II
- ECON3032: Statistical Estimation and Inference for Business and Social Sciences
- STATISTICS ELECTIVE LEVEL II/ III THREE
- FREE ELECTIVE LEVEL II/III EIGHT
- FREE ELECTIVE LEVEL II/III NINE
- FREE ELECTIVE LEVEL II/III TEN
NOTE:
- Students are also urged to read the current handbook for additional programme requirements and departmental guidelines.
- Students who wish to pursue a MSc. Economics degree are encouraged to do ECON2016, ECON3031 and ECON3050.
- The following course are not accepted as a pre-requisite for any ECON course: SOCI1005, SOCI2008 and SOCI2007. Students must do ECON1005, ECON2008 or STAT2001 and/or ECON2014.
- Students are strongly encouraged to take COMP1126, COMP1127, ECON2010, ECON2016 and/or ECON3050 as electives.
- Students who are exempt from taking the Foreign Language course must substitute it with a level 1 free elective.
- Students have the option to take both FOUN1101 and FOUN1201 to meet their Level free elective requirements.
- Students are urged to read Part III of the current Undergraduate Handbook for details on the Foreign Language Policy and Requirements.
*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
- ECON3049: Econometrics
- 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.
