BS Statistics & Business Analytics - Institute of Business Management

Department

Mathematics

Level

Undergraduate

Colleges

College of Computer Sciences & Information Systems

BS (Statistics & Business Analytics) is designed to give you substantial hands-on digital skills, teaching you statistical theory and data analysis techniques with the perspective of business analytics. You will learn how to use these skills to solve business problems, applying them to specific areas in marketing, finance, and economics. In addition, you will learn international and sustainable business management from both theoretical and experiential viewpoints. The latest developments in Business Analytics’ technology are playing a crucial role in automating the analysis process. It is also enabling both data analysis experts and business users to interpret data more easily and quickly. Business analytics are key differentiators, which provide a competitive edge to companies across industries.

BS (Statistics & Business Analytics) is a four-year degree program. It requires completion of 144 credit hours of course work and compulsory internship of at least six weeks at an organization approved by the Institute. A major component of this degree is the final year two-semester project that teaches students how to apply statistical and computational principles to solve large-scale, real-world data analysis problems.

Statistics & Business Analytics students learn to:

Apply knowledge of Computing, Mathematics, and Statistics and integrate it with the business that is appropriate for the program
Get a thorough understanding of tools and methods and enhance their ability to do in-depth research
Analyze the data pertinent to business problems to explore solutions
Acquire the knowledge and skills to get a greater insight regarding the day-to-day challenges that businesses face
Use knowledge of data analytics to apply in the important branches of business management such as Marketing, Human Resource Management, Finance and Risk Management, Supply Chain Management
Change the world for the better – in areas like healthcare, transportation, and education, etc.

Learning Outcomes for Statistics & Business Analytics Students include:

1. Design, implement and evaluate a computer-based system, process, component or program to meet desired needs 2. Communicate effectively with different audiences
3. Improve business-related decision-making skills by exploring and mining data from various aspects

Eligibility Criteria

The BS (Statistics & Business Analytics) is a four-year program. Applicants who have successfully completed H.Sc with minimum 50% marks in Pre-Engineering or in General Group (with Mathematics/Statistics/Computer Science) or A-Levels with a maximum 2 ‘C’s in three principal subjects (with Mathematics/Statistics/Computer Science) are eligible to apply for admission.

Learning Outcomes

Understand the various dimensions of how statistics facilitates business analytics
Effectively manage and interpret data for decision making
Gain experience by using statistical software packages
Develop data visualization skills and present results
Conduct statistical, business and financial forecasting

Career Path

Business Analyst
Data Scientist
Project Manager

Interested in this program? Visit the admissions page for more information.

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Required Courses

Area	Course Code/Title
Accounting	ACC101 Introduction to Financial Accounting ACC201 Intermediate Financial Accounting ACC401 Introduction to Managerial and Cost Accounting
Communication	COM107 Academic English COM202 Business and Professional Speech COM205 Persuasive & Analytical Writing for Bus. Com
Economics	ECO101 Principles of Microeconomics ECO102 Principles of Macroeconomics ECO103 Intermediate Micro and Macroeconomics ECO301 Managerial Economics ECO304 Introduction to Econometrics ECO402 Pakistan Economic Policy
Management	MAN101 Principles of Management MAN411 Project Management
Management Information Systems	MIS401 Computer Applications
Language	LAN 10* Foreign Language I LAN 20** Foreign Language II 1 = Introduction to Arabic 2 = Introduction to French 4 = Introduction to German 6 = Introduction to Italian 8 = Introduction to Chinese 1 = Intermediate Arabic 2 = Intermediate French 4 = Intermediate German 6 = Intermediate Italian *8 = Intermediate Chinese
Finance & Risk Management	FIN201 Introduction to Business Finance FIN202 Financial Management FRM201 Principles of Risk Management
Mathematics	MTH100 Mathematics for Business MTH104 Calculus I MTH105 Calculus II MTH204 Linear Algebra MTH403 Numerical Analysis
Marketing	MKT301 Principles of Marketing MKT302 Marketing Management MKT404 Methods in Business Research
Human Resource Management	HRM301Human Resource Management
Political Sciences	PSC301 Pakistan Studies
Religious Studies	REL101 Islamic Studies

*Indicates MBA level courses

Elective Courses

Statistics
STA203 Probability Theory and Statistics I
STA205 Probability Theory & Statistics II
STA210 Sampling Theory
STA301 Model and Inferences
STA302 Methods of Data Analysis
STA303 Time Series Analysis and Forecasting
STA305 Applied Regression Analysis
STA307 Decision Theory
STA309 Loss Models I
STA310 Loss Models II
STA311 Design of Experiment I
STA313 Applied Multivariate Analysis
STA315 Design of Experiment II
STA316 Operations Research I
STA317 Operations Research II
STA319 Statistical Quality Control

Statistics
STA491 Final Year Project I
STA492 Final Year Project II

Course Structure

Semester One (18 Credit Hours) Islamic Studies (3+0) [Pre Req. NA] Mathematics for Business (3+0) [Pre Req. NA] Principles of Management (3+0) [Pre Req. NA] Principles of Microeconomics (3+0) [Pre Req. NA] Probability Theory & Statistics I (3+0) [Pre Req. NA] Academic English (3+0) [Pre Req. NA]	Semester Two (18 Credit Hours) Persuasive & Analytical Writing for Bus. Comm. (3+0) [Pre Req. COM107] Pakistan Studies (3+0) [Pre Req. NA] Principles of Macroeconomics (3+0) [Pre Req. ECO101] Calculus I (3+0) [Pre Req. NA] Probability Theory & Statistics II (3+0) [Pre Req. STA203] Principles of Marketing (3+0)[Pre Req. NA]
Semester Three (18 Credit Hours) Computer Applications (2+1) [Pre Req. NA] Inter. Micro & Macroeconomics (3+0) [Pre Req. ECO102] Calculus II (3+0) [Pre Req. MTH104] Introduction to Financial Accounting (3+0) [Pre Req. NA] Model & Inferences (3+0) [Pre Req. STA205] Business & Professional Speech (3+0) [Pre Req. COM107]	Semester Four (18 Credit Hours) Managerial Economics (3+0) [Pre Req. ECO103] Linear Algebra (3+0) [Pre Req. MTH107] Organizational Behavior (3+0) [Pre Req. MAN101] Intermediate Financial Accounting (3+0) [Pre Req. ACC101] Marketing Management (3+0) [Pre Req. MKT301] Methods of Data Analysis (2+1) [Pre Req. STA301]
Semester Five (18 Credit Hours) Foreign Language I [Pre Req. NA] Human Resource Management (3+0) [Pre Req. MAN302] Introduction to Econometrics (2+1) [Pre Req. ECO102] Introduction to Business Finance (3+0) [Pre Req. NA] Methods in Business Research (3+0) [Pre Req. MKT302] Applied Regression Analysis (2+1) [Pre Req. STA302]	Semester Six (18 Credit Hours) Foreign Language II [Pre Req. LAN10*] Intro. to Cost & Mgmt. Accounting (3+0) [Pre Req. ACC201] Financial Management (3+0) [Pre Req. FIN201] Sampling Theory (2+1) [Pre Req. STA302] Numerical Analysis (3+0)[Pre Req. MTH204] Principles of Risk Management (3+0) [Pre Req. FIN202]
Semester Seven (18 Credit Hours) Design of Experiment (2+1) [Pre Req. STA305] Production & Operations Management (3+0) [Pre Req. NA] Pakistan Economic Policy (3+0) [Pre Req. ECO103] Elective I (2+1) [Pre Req. NA] Elective II (2+1) [Pre Req. NA] Final Year Project I (0+3) [Pre Req. FRM201,STA305]	Semester Eight (18 Credit Hours) Decision Theory (3+0) [Pre Req. STA301] Applied Multivariate Analysis (2+1) Time Series Analysis & Forecasting (2+1) [Pre Req. STA305] Elective III (3+0) [Pre Req. NA] Elective IV (3+0) [Pre Req. NA] Final Year Project II (0+3) [Pre Req. STA491]