Introduction

The BS Business Analytics prepares students to connect data and models to substantive business problems to make optimal business decisions. The program is a blend of business knowledge, Big Data analytical tools, statistical techniques and Artificial Intelligence for solving real business problems. To better comprehend business situations, students focus on collecting and analyzing data, drawing on computer technology, statistics, applied mathematics, and machine learning techniques.

The program specially concentrates database systems, data visualization tools and techniques, statistical modeling, data mining, optimization, simulation, and their applications in business disciplines such as accounting, finance, human resources, insurance, management, and marketing.

Emphasis is placed throughout the program on development of all-rounded communications& soft skills, analytical &reasoning skills, ethical decision making and problem-solving capabilities.

Program Mission Statement

The mission of BS Business Analytics program is to inculcate knowledge and application of data analytics skill sets required by every organization or company that uses data to make effective business decisions. To enhance the employment rate of the graduates the program places an emphasis on current and up-to-date software and tools in the field.

Objectives

Learning Environment Objectives
To equip students with critical thinking skills and modern business intelligence tools to make rational business decision which will yield superior operational and financial performance of enterprises.

Intellectual Contribution Objectives
To apply such innovative teaching methods and practices that may brighten both academic and professional growth of faculty.
Teaching students using a combination of theory based lecturing while developing professional insight in students through inculcating case based teaching methodology in curriculum.

Services Objectives
To serve the nation through nurturing a breed of business leaders willing to work hard and ready to go extra mile for providing ethical and sustainable solutions to the problems of modern world.

Program Eligibility

At least 45% marks in HSSC or equivalent qualification

Program Selection Criteria

Matric (20%), HSSC/ Equivalent (40%), Admission Test (40%)

Program Duration

Minimum 4 years (8 semesters)
Maximum 6 years (with one year extension)

Degree Requirements

Minimum of 131 credit hours including final year’s project of 6 credit hour, with minimum CGPA of 2.00

Tentative Study Plan
Semester-wise Breakup

Semester I				Semester II
Code	Title	Credit Hours		Code	Title	Credit Hours
HU-1001	Functional English 1	3		SC-1406	Advanced Q.T	3
MS-1401	Introduction to IT	3		HU-1203	Introduction To Economics	3
AF-1101	Fundamentals of Accounting	3		AF-1102	Financial Accounting	3
SC-1401	Introduction to Quantitative Techniques	3		SC-1402	Business Statistics-1	3
HU-1202	Introduction to Psychology	3		HU-1002	Functional English-2	3
				HU-1101	Islamic Studies and Ethics	3
Total Credit Hours		15		Total Credit Hours		18
Semester III				Semester IV
Code	Title	Credit Hours		Code	Title	Credit Hours
SC-2403	Business Statistics – II	3		BA-2201	Data Structures & Business Applications	3+1
MS-2301	Principles of Marketing	3		HU-2406	Basic Econometrics	3+1
HU-2204	Business Economics – II	3		AF-2201	Fundamentals of Finance	3
MS-2101	Fundamentals of Management	3		MS-2201	Organizational Behavior	3
BA-2001	Programming Fundamentals	3+1		BA-2301	Fundamental of Business Analytics	3+1
Total Credit Hours		16		Total Credit Hours		18
Semester V				Semester VI
Code	Title	Credit Hours		Code	Title	Credit Hours
BA-3202	Data Base Systems	3+1		AF-3305	Financial Technology	3+1
MS-3106	Project Management	3		MS-3202	Human Resource Management	3
HU-3207	Research Methods	3		BA-3401	Machine learning for Business Analytics	3+1
AF-3202	Financial Management	3		BA-3203	Business Data and Text mining	3
MS-3303	Consumer Behavior	3			Elective Course- I	3
Total Credit Hours		16		Total Credit Hours		17
Semester VII				Semester VIII
Code	Title	Credit Hours		Code	Title	Credit Hours
MS-4103	Entrepreneurship	3		HU-4102	Pakistan Studies	3
BA-4101	Decision Sciences for Business	3		MS-4902	Final year Project - II	3
MS-4901	Final Year Project – I	3		MS-4104	Strategic Management	3
BA-4302	Predictive Analysis	3			Elective Course – III	3
	Elective Course – II	3+1			Elective Course – IV	3
Total Credit Hours		16		Total Credit Hours		15

List of Electives
Code	Title	Credit Hours
MS3108	Leadership	3
MS-4313	Digital Marketing Analysis	3
MS-3305	Advertising	3
AF-4207	Financial Modeling	3
AF-4206	Financial Risk Management	3
AF-3105	Forensic Accounting	3
BA-4404	Deep Learning for Business Analytics	3+1
BA-4403	Block Chain Management	3+1
BA-4304	Simulation Techniques for Business	3+1
BA-4201	Big Data Analytics	3+1
BA-4306	Probabilistic Modelling	3
BA-4307	Advanced Econometrics & Forecasting	3
MS-3105	Total Quality Management	3
BA-4310	Global Logistics and Inventory Management	3
BA-4309	Integrated SCM Information Systems	3
BA-4308	Analytics for Supply Chain Management	3
MS-4206	Training & Development	3
MS-4207	Performance Management	3
AF-4123	Accounting Applications With SAP/Oracle	3
AF-4219	Corporate Finance	3
BA-4310	Game Theory	3
BA-4311	Business Analytics Strategy	3
Career Counseling Session with VC – SSACASEIT, Dr. Shafaat A. Bazaz
00:01 – Welcome Note & Introduction of VC – SSCASEIT. 01:40 – Session Introduction by Dr, Shafaat A. Bazaz. 02:10 – What is Business Analytics and its need in the market. 05:19 – Is SSCASEIT the first institute to launch Business Analytics at Undergraduate Level? 06:27 – What different SSCASEIT is offering in Business Analytics program? 08:40 – Job Opportunities and Salaries after completion of this undergraduate program. 10:09 – Fundamental knowledge at intermediate level required for entry in this program. 11:22 – Opportunities for Pre-Medical students. 12:35 – Why choose SSCASEIT for Business Analytics program & Faculty profiles. 14:00 – Hostel and Transport facilities at SSCASEIT. 14:52 – Ending Note and Message by VC Dr. Shafaat A. Bazaz to students.