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BS BUSINESS ANALYTICS (BSBA)

BS BUSINESS ANALYTICS (BSBA)

Introduction

The BS Business Analytics is a dynamic and market-oriented degree program aimed to provide strong analytical and critical thinking abilities to students who wish to harness the power of data analysis to facilitate decision-making processes in organizations and solve business problems. The program is a blend of business knowledge, analytical tools, statistical techniques and computer applications for solving real business problems. Thus, the program prepares the next generation of managers with the expertise to manage and analyze data to solve the pressing challenges faced by organizations in management, HRM, finance, operations and marketing. The program follows a hands-on approach through which students will use the knowledge of business management, technology and the power of data analytics to create value for their organization. The program emphasizes the development of all-rounded communication and soft skills, analytical reasoning skills, ethical decision making and problem-solving capabilities.

 

Distinctive program features

  • The program emphasizes practical applications of business analytics, ensuring students gain hands-on experience through projects, case studies, and internships, preparing them for real-world challenges.
  • Integrating business knowledge, analytical tools, statistical techniques, and computer applications, the program offers an interdisciplinary curriculum that equips students with a comprehensive skill set to address complex business problems.
  • With a market-oriented approach, the program focuses on developing skills highly sought after by employers, such as data analysis, critical thinking, communication, and ethical decision-making.
  • Recognizing the diverse interests and career aspirations of students, the program offers customizable pathways or specializations, allowing students to tailor their learning experience to align with their professional goals.
  • In addition to technical competencies, the program places significant emphasis on developing soft skills such as teamwork, leadership, and communication, enhancing students’ overall effectiveness in the workplace.

Program Objectives

  • Equip students with advanced analytical skills and knowledge of statistical techniques, enabling them to analyze complex data sets and derive meaningful insights to inform strategic decision-making.
  • Provide students with a solid foundation in business principles, ensuring they understand the broader context in which data analysis is applied and can effectively translate insights into actionable business strategies.
  • Cultivate a strong sense of ethical responsibility among students, emphasizing the importance of integrity, transparency, and fairness in data analysis and business decision-making processes.
  • Improve students’ communication abilities, both oral and written, enabling them to effectively convey complex analytical findings to diverse stakeholders and facilitate collaboration within multidisciplinary teams.
  • Prepare students for leadership positions by developing their critical thinking, problem-solving, and decision-making capabilities, empowering them to lead organizational initiatives that leverage data-driven insights for competitive advantage.

Career Prospects

Graduates with BS Business Analytics are well-equipped to contribute to a wide range of industries and functional areas, leveraging their skills in data analysis, business intelligence, and decision support. The interdisciplinary nature of the program prepares them for roles where a blend of business knowledge and analytical skills is crucial for success. The graduates of this program will be able to secure position for the below titles.

  • Business Analyst
  • Data Analyst
  • Financial Analyst
  • Marketing Analyst
  • Operations Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Predictive Analyst
  • Project Manager
  • Decision Science Analyst
  • Machine Learning Analyst

Teaching Pedagogy

  • Emphasizing a hands-on approach, the program utilizes experiential learning methods such as case studies, simulations, and internships to allow students to apply theoretical concepts in real-world contexts.
  • Encouraging collaborative projects and group assignments fosters teamwork skills and exposes students to diverse perspectives, mirroring the collaborative nature of professional environments.
  • Integrating industry guest lectures, workshops, and industry-sponsored projects enables students to gain insights into current industry practices and challenges, enhancing their relevance and employability upon graduation.
  • Leveraging state-of-the-art technologies and software tools, the program ensures students are proficient in utilizing the latest analytical tools and platforms widely used in the industry.

Specializations

  • Data Science

Eligibility Criteria

45% marks in FA/F.Sc./A-level or equivalent

Program Structure

The degree requires a minimum of 123 credit hours of course work including a thesis of a minimum of 03 credit hours and an internship of 03 credit hours.

Scheme of Study

Program Duration                         

04 Years

Semester Duration

16 weeks + 02 weeks for examination

Course Load

15-18 credit hours (per semester)

A student can be enrolled for one course beyond the maximum limit, if:

1) If his/her CGPA is above 3.5

2) The student needs the course to graduate within the maximum duration.

Attendance

90 %

Total Credit Hours

123

 

BSBA-MODEL ROADMAP

Code

Course Title

Cr. Hrs

 

Semester 1

 

HSS101

Functional English

3-0-0

MTH208

Quantitative Reasoning 1-  Probability and Statistics
 

3-0-0

HSS103

Islamic Studies

2-0-0

CCL100

Applications of ICT

2-1-0

CCS 101

Programming Fundamentals

3-1-3

PAD 101

Introduction to Public Administration

3-0-0

 

Total Cr. Hrs.

18

 

Semester 2

 

HSS108

Expository Writing

3-0-0

CCS207

Quantitative Reasoning 2- Introduction to Data Science

3-0-0

HSS104

Ideology & Constitution of Pakistan

2-0-0

HSS108

Civics & Community Engagement

2-0-0

MGT 101 44040

Principles of Management

3-0-0

SOC 101

Introduction to Social Work

3-0-0

 

Total Cr. Hrs.

16

 

Semester 3

 

HSS109

Social Sciences Elective: Principles of Economics

2-0-0

PHY100

Natural Science Elective: Physics

2-1-0

PHL 101

Arts and Humanities Elective: Introduction to Philosophy

2-0-0

MGT201

Entrepreneurship, Innovation & Technology

2-0-0

CCS 202

Object Oriented Programming

3-1-3

IRR 201

International Relations

3-0-0

 

Total Cr. Hrs.

16

 

CCS 203

Data Structures & Business Applications

3-1-3

 

Semester 4

 

MKT 101

Marketing Fundamentals

3-0-0

ECO 201

Microeconomics

3-0-0

ACC 201

Financial Accounting

3-0-0

DSC 201

Fundamentals of Business Analytics (MS Excel or any other tool)

3-1-3

 

Total Cr. Hrs.

17

 

Semester 5

 

DSC 302

Fundamentals of Web Analytics (Google Analytics or any other tool)

3-1-3

HRM 201

Human Resource Management

3-0-0

FIN 201

Business Finance

3-0-0

ECO 302

Macroeconomics

3-0-0

CCS 304

Database Systems

3-1-3

 

Total Cr. Hrs.

17

 

Semester 6

 

ECO 403

Basic Econometrics (R or any other tool)

3-1-3

MGT 304

Research Methods

3-0-0

MKT 302

Digital Marketing

3-0-0

DSC 303

Machine Learning for Business Analytics

3-0-0

 

Total Cr. Hrs.

13

 

Semester 7

 

DSC 404

Big Data: Concepts, Techniques & Analytics (Python or any other tool)

3-1-3

MGT 406

Change Management

3-0-0

INT 401

Internship

3-0-0

MGT 408

Project Management

3-0-0

 

Total Cr. Hrs.

13

 

Semester 8

 

PRJ 401

Final Year Experiential Project (FYEP)

3-0-0

DSC 406

Inferential Statistics

3-0-0

MGT 407

Strategic Business Policy

3-0-0

DSC 407

Data Warehousing & Business Intelligence (Power BI or any other tool)

3-1-3

 

Total Cr. Hrs.

13

 

Total

123

 

Domain

Cr. Hrs

General Education

30

Disciplinary Major

75

Interdisciplinary

12

Field Experience

3

Final Year Project

3

Total

123

Disclaimer:

  1. The minimum credit hour requirement for the award of this degree program as per HEC policy is 120 credit hours.
  2. This is the model roadmap and is subject to change at the discretion of the department.
  3. Tools/software/programming languages are subject to change at the discretion of the department.