Programmes

Bachelor of Science in Applied Statistics

Programme Code: UBSAPSTFTU1A

Course Description

The B.Sc. in Applied Statistics (AS) is geared to produce graduates with the qualitative and analytical skills necessary to assist in planning, decision making and research within various institutions. The curriculum provides training in general statistical techniques, specialized statistical methods, aspects of statistical management as well as option specific foundation.

 

Course Design

A four-year full-time OR five year evening part-time Degree Course of Study with two options:

  • Social and Economic Statistics (SES) comprising a total of one hundred and twenty eight (128) credit hours
  • Environmental Statistics (ES) comprising a total of one hundred and twenty seven (127) credit hours

The full-time course is done over eight semesters and the evening part-time course is done over fifteen semesters.

 

Entry Requirements

Applicants must satisfy the following qualifications:-

  • A minimum of five (5) CSEC General Proficiency Levels 1, 2 and 3 (after June 1998) or GCE Ordinary Levels A, B and C including English Language and Mathematics and preferably Geography for the Environmental Statistics Option and a business oriented subject for the Social and Economic Statistics Option
  • OR English Language and Mathematics at the CSEC or GCE `O’ Level and the Certificate in Social and Economic Statistics.
  • Applicants who do not have a grade 1 in CSEC or A in GCE will need to do An English Proficiency test.
Detailed Programme Structure
YEAR 1 (Semester 1)    
Module Code Module Name Credits  
  Information Technology   
3
  
  College Mathematics 1B    
4
  
  Exploratory Data Analysis 
3
  
  Intro to Statistics             
3
  
  Community Service Project                
1
  
 

Intro to Management

    
       
  (Semester 2)    
  Academic Writing 1                 
3
  
  Linear Algebra                       
3
  
 

Census & Sample Survey Methods                                 
3
  
  Calculus 1                              
3
  
  Science & Technology            
2
  
       
YEAR 2 (Semester 1)    
Module Code Module Name Credits  
  Calculus 2                             
3
  
 

Option Specialization 1
 
  Design of Experiments           
3
  
  Data Base Mgmt. Systems I   
3
  
 

Probability Distribution Theory                                   
3
  
   
 
  (Semester 2)
 
  Academic Writing 2                  
3
  
  Regression Analysis                  
3
  
 

Option Specialization 2

 
  Theory of Inferential Statistics   
3
  
 

Option Specialization 3
 
 

Entrepreneurship
 
   
 
YEAR 3 (Semester 1)
 
Module Code

Module Name

Credits
  
 

Option Specialization 4

        
 
 

Option Specialization 5

         
 
 

Option Specialization 6
 
 

Stochastic Processes                

3
  
  Analysis of Categorical Data                  
3
  
  Multivariate Data Analysis          
3
  
   
 
  (Semester 2)
 
  Option Specialization 7
 
  Forecasting Time Series 
3
  
  Nonparametric statistics
3
  
  Option Specialization 8
 
  Option Specialization 9
 
  Research Methodology  
3
  
   
 
YEAR 4 (Semester 1)    
Module Code Module Name
Credits
  
  Intro. to Project Mgmt.             
3
  
 

Option Specialization 10
 
 

Option Specialization 11
 
  Applied Statistical practice       
3
  
  University Elective 1                
3
  
 

Option Specialization 12

    
       
  (Semester 2)    
  Statistical Computing             
3
  
  Data Quality Management       
3
  
  University Elective 2              
3
  
  Final Year Integrative Study    
3
  
       

The Option Specializations consist of non-statistical and statistical modules which are directly related to the options the Socio-Economic or Environmental Option