1 BSc (Hons) Business Statistics with Information Technology - SHE307 1. Objectives Increasingly, it is being realized that the world is experiencing a data explosion. Data relevant to various aspects of a firm s activity such as consumer profiles, customer expenditure patterns and preferences, raw materials sources and costs are routinely being collected and stored in databases accessible to the firm. However, the analytical skills required to fully exploit such data and extract from them strategic information that can provide the firm with competitive edge are often deficient. The programme of study aims to provide students with solid data analytical and IT skills that will enable them to harness today s technology to produce vital information to guide business decisions and their implementations. The curriculum content is designed to enable students to develop packages/ libraries in statistical softwares using computationally efficient statistical techniques which is a facility valued by many researchers in the field of statistics and a number of professions in the public and private sectors including the ICT sector. 2. General Entry Requirements In accordance with the University General Entry Requirements for admission to undergraduate degree programmes. 3. Programme Requirements Credit in English at SC/GCE O Level and Passes in two A level subjects including at least a grade B in Mathematics. 4. Programme Duration Normal Maximum Degree 3 Years 5 Years 5. Minimum Credits Required for Degree Award: 103 Breakdown as follows: Credits from Core Taught Modules Project/ Dissertation Electives 87 10
2 Modules Credits Core Statistics 51 Computer Science 30 Economics Dissertation 10 Electives Total 103. Credits per Year As per University Regulation.3. 7. Assessment Each module will be assessed over 100 marks with details as follows (unless otherwise specified): Assessment will be based on a written examination of 2 to 3 hour duration (normally a paper of 2 hour duration for modules carrying less or equal to three credits and 3 hour paper for modules carrying six credits) and on continuous assessment done during the semester or year. Written examinations for all modules, except for DE modules and some semester modules, whether taught in semester 1 or in semester 2 or both, will be carried out at the end of the academic year (unless stated otherwise). The continuous assessment will count for 20 30% of the overall percentage mark of the module(s), except for the following modules. An overall total of 40% for combined continuous assessment and written examination components would be required to pass the module, without minimum thresholds within the individual continuous assessment and written examination. The same criterion will apply for modules being assessed jointly. Note that all overall mark for the two modules will be considered and not the individual marks for each of the two modules. Students are required to submit work for continuous assessment by due dates. Failure to do so will normally incur penalties. Continuous Assessment Exams STAT 2012 Y(3) Computational Statistics and Data Graphics 0% 40% CSE 1049 Y(1) Programming for Statistics 50% 50% CSE 1048 Y(1) Computer Applications 40% 0% CSE 2050 Y(3) Web Applications Development 50% 50% CSE 2049 Y(3) Database and Data Warehouses 50% 50%
3 CSE 3049 Y(5) Expert Systems for Business Statistics 50% 50% For a student to pass a module, an overall minimum of 40% should be attained in that module, as per University regulations. 8. Submission Deadline for Dissertation Final copy: Last week day of March of the Academic Year by 4.00 p.m. at latest 9. List of Modules - BSc (Hons) Business Statistics with Information Technology STAT 1147 (1) MODULE Mathematical Techniques for Statistical Computing HRS/ WRK CREDITS 3+0 3 STAT 1008 Y(1) Uncertainty and Inference 3+0 STAT 1009 Y(1) Statistical Reasoning and Practical Data Handling 3+0 STAT 2012 Y(3) Computational Statistics and Statistical Graphics 2+2 STAT 2004 Y(3) Statistical Inference and Decision Making 3+0 STAT 2005 Y(3) Survey Methods and Sampling Techniques 3+0 STAT 3014 Y(5) Multivariate Analysis and Business Intelligence 3+0 STAT 3015 Y(5) Time Series Analysis and Business Forecasting 3+0 STAT 3017 Y(5) Generalised Linear Models and Survival Analysis 3+0 ECON 1023 Y(1) Economics for Business 3+0 CSE 1048 Y(1) Computer Applications 2+2 CSE 1049 Y(1) Programming for Statistics 2+2 CSE 2049 Y(3) Database and Data Warehousing 2+2 CSE 2050 Y(3) Web Applications Development 2+2 CSE 3089 Y(5) Expert Systems for Business Statistics 2+2 STAT 3000 Y(5) Dissertation - 10 ELECTIVES Choose credits STAT 301Y(5) Stochastic Processes and Stochastic Finance 3+0
4 CSE 3090 Y(5) Management Information systems 3+0 Note 1: Offering of electives would be subject to availability of resources and critical mass. The Department reserves the right to offer additional electives.
5 10. PROGRAMME PLAN BSC (HONS) BUSINESS STATISTICS WITH INFORMATION TECHNOLOGY LEVEL I STAT 1147 (1) Mathematical Techniques for Statistical Computing 1 3+0 3 STAT 1008Y(1) Uncertainty and Inference 3+0 STAT 1009Y(1) CSE 1048 Y(1) CSE 1049 Y(1) ECON 1023 Y(1) Statistical Reasoning and Practical Data Handling Computer Applications Programming for Statistics Economics for Business 3+0 2+2 2+2 3+0 LEVEL II STAT 2012Y (3) Computational Statistics and Statistical Graphics 2+2 STAT 2004Y(3) Statistical Inference and Decision Making 3+0 STAT 2005Y(3) Survey Methods and Sampling Techniques 3+0 CSE 2049Y (3) Database and Data Warehousing 2+2 CSE 2050Y (3) Web Applications Development 2+2 LEVEL III CSE 3089 Y(5) Expert System for Business Statistics 2+2 STAT 3014Y(5) Multivariate Analysis and Business Intelligence 3+0 STAT 3015Y(5) Time Series Analysis and Business Forecasting 3+0 STAT 3017Y(5) Generalised Linear Models and Survival Analysis 3+0 STAT 3000Y(5) Dissertation - 10 ELECTIVES Choose CREDITS from STAT 301Y(5) Stochastic Processes and Stochastic Finance 3+0 CSE 3090 Y(5) Management Information Systems 3+0 1 Modules taught and examined in Semester 1 11. Outline Syllabus Note: With regards to some CSE modules, a student needs to satisfy pre-requirement (PQ) CSE modules. Further information, is available on the module outline.