CS241 BACHELOR OF SCIENCE (HONS.) STATISTICS / SARJANA MUDA SAINS (KEPUJIAN) STATISTIK
Programme Description / Penerangan Program
Bachelor of Science (Honours) in Statistics (known as CS241) is designed to provide graduates with the necessary theoretical foundations of current statistical practice to prepare graduates for careers in applied statistics, data management, and analytics. This programme design meets current and future demand for professionals with analytical skills, with four different track options to choose from: Accounting, Decision Science, Business and Economics, and Big Data Analytics.
The programme offers state-of-the-art teaching facilities such as smart classrooms as well as high-tech Big Data laboratories to qualify students to pursue a range of careers in industries. Students will have meaningful experience in using various software applications such as SPSS, SAS software packages (E-Miner, E-Guide, programming), Eviews, MATLAB, Minitab, R-programming, and Python as well as able to solve various real-life and simulated problems by using statistical models.
Course Detail / Perincian Kursus
Semester 1 Year 1
Probability and Statistics, Calculus I, Linear Algebra I, Fundamentals of Computer Problem Solving, Islamic and Asian Civilization, Co- Curriculum I.
Semester 2 Year 1
Statistical Methods, Fundamentals of Research, Calculus II, Database Design and Development, Operational Research, Co-Curriculum II.
Semester 3 Year 2
Mathematical Statistics I, Sampling Techniques, Database Management System, Calculus III, English for Oral Presentations, Ethnic Relations, Third Language I, Co-Curriculum III.
Semester 4 Year 2
Mathematical Statistics II, Applied Regression Analysis, Linear Algebra II, Fundamentals of Data Mining, Personality Development in Islam, Third Language II.
Semester 5 Year 3
Applied Multivariate Analysis, Research Methodology, SAS Programming, English for Report Writing, Third Language III, Elective 1*.
Semester 6 Year 3
Technology Entrepreneurship, Final Year Project, Elective 2, Elective 3, Elective 4*
Semester 7 Year 4
Industrial Training
Elective* (for a chosen option)
Accounting
Accounting Information System, Financial & Management Accounting, Management Accounting, Zakat Accounting.
Decision Science
Quantitative Financial Management, Simulation, Advanced OR, Statistical Quality Control.
Business & Economics
Marketing Models, Econometrics, Time Series Analysis and Forecasting, Experimental Design & Analysis of Variance
Big Data Analytic
Intelligent Decision Making Support Systems, Business Data Analytics, Programming for Data Science, Data Representation and Reporting Techniques
Job Opportunities / Peluang Pekerjaan
The Accounting track is suitable for students who have much interest in applying statistics in the accounting and/or financial fields. Decision Science is suitable for students who seek to learn about making scientific decisions based on various decision science techniques. Business and Economics track is designed for students who wish to learn the application of statistical methods in business and marketing related fields. Finally, with the recent rise of big data, data science, and analytics, the demand for this set of skills and knowledge has increased substantially in the business, financial and telecommunication sectors, thus the Big Data Analytics track is designed to accommodate such needs.
Students who choose to be in the Big Data Analytics track will be exposed to courses like Fundamentals of Data Mining, Intelligent Decision-Making Support Systems, Business Data Analytics, Data Representation and Reporting Techniques and Programming for Data Science.
Students will be developed into highly competent statisticians and data analysts, who are well qualified not only in Accounting, Decision Science, Business and Economic or Big Data analytics, but also corporate workplace and other professional areas, opening opportunities to work with multinational corporations and government agencies.
Graduates with high levels of statistics and data analytics can pursue as statistician, data analyst, market analyst, risk analyst, business analyst, and financial analyst which pay well and rank highly in terms of opportunity and job satisfaction.
Graduates from this programme have a great record to be accepted to some of the local and international best universities to pursue their studies or other professional degree programmes.
The programme embraced and facilitated collaboration with SAS Institute and Department of Statistics Malaysia (DOSM). These mutually beneficial collaborations served the students, lecturers, and the organisations in providing certification, training, software with support, and produce ground-breaking research. The industry also assists in developing an industrial driven curriculum.
In the final semester of this programme, students will enter the working environment and apply their statistical and analytical knowledge during their practical training. This not only increases value to the graduates, but also for graduates to gain experience and impress the industry for a job opportunity.
