Entrepreneurship minor program will provide students with a certain level of structure and the ability by making use of theoretical and acting contributions made in recent years in the field of business administration. The program will ensure that students have knowledge and perspective in the major intellectual trends and debates in the areas of entrepreneurship, intrapreneurship and technology management. In order to prepare themselves for the related areas, the students will establish a close relationship with the business world as well as taking the theoretical courses. One of distinctive features of the program is that it will build new perspectives for entrepreneurship and innovation functions in society. Entrepreneurship is a characteristic that is also wanted in social areas and policy institutions.

Program Requirements

Students can apply to this course earliest after the period following their decleration period. For admission, general GPA must be minimum 2.72 and the the application must be accepted by the related Faculty Board.

Credits and number of courses required for graduation:

Course Category	ECTS Credits	SU Credits	Courses
Required	-	8	4
Core-Elective	-	6	2
Area-Elective	-	6	2
Total	-	20	8

 

A certificate is given to students who succesfully complete all courses required for the minor program with a minimum GPA of 2.72.

Required Courses

Course Code	Course Name	ECTS Credits	SU Credits	Faculty
MGMT 401	Business Strategy	6	3	SBS
MGMT 402	Entrepreneurship	6	3	SBS
MGMT 495	Entrepreneurial Skills Workshop I	2	1	SBS
MGMT 496	Entrepreneurial Skills Workshop II	2	1	SBS

Core-Elective Courses: 2 Courses

Students are required to take 2 course from the list below

Course Code	Course Name	SU Credits	ECTS Credits	Faculty
FIN 407	Entrepreneurship and Venture Capital	3	6	SBS
MGMT 404	Technology Management	3	6	SBS
MGMT 412	Social Innovation and Entrepreneurship	3	6	SBS
MGMT 413	Strategic Innovation	3	6	SBS
MGMT 415	Entrepreneurial Technology Commercialization	3	6	SBS
MGMT 417	Strategy Execution	3	6	SBS
MGMT 420	New Venture and Business Plan Development	3	6	SBS
MKTG 301	Introduction to Marketing	3	6	SBS

Area Elective Courses

Choose 2 courses from the list below. You can take at most one course from each faculty.

	Course Code	Course Name	Credit	Faculty
	ANTH 251	Anthropology of the Global City	3	FASS
	ANTH 320	Material Culture	3	FASS
	CULT 222	Popular Culture and Everyday Life	3	FASS
	CULT 223	Consumption, Food and Culture	3	FASS
	CULT 225	Advertising and Culture	3	FASS
	CULT 230	Introduction to Media Studies	3	FASS
	CULT 355	Urban Spaces and Cultures	3	FASS
	CULT 360	Consumer Society and Cultures	3	FASS
	CULT 391	Turkish Culture: Critical Perspectives	3	FASS
	CULT 420	Science, Technology and Culture	3	FASS
	ECON 346	Global Finance and Multinational Corporation	3	FASS
	ECON 347	Essentials of Project and Infrastructure Finance	3	FASS
	ECON 350	Financial Institutions and Markets	3	FASS
	ECON 412	Competition and Regulation	3	FASS
	ECON 492	Seminar on the Turkish Economy	3	FASS
	ENS 205	Introduction to Materials Science	3	FENS
	ENS 207	Introduction to Energy Systems	3	FENS
	ENS 208	Introduction to Industrial Engineering	3	FENS
	ENS 209	Introduction to Computer Aided Drafting and Solid Modeling	3	FENS
	ENS 301	Energy Systems and Environment	3	FENS
	ENS 302	Technology and Society	3	FENS
	FIN 301	Financial Management	3	SBS
	HART 213	History of Photography and Moving Image	3	FASS
	HART 293	Contemporary Art	3	FASS
	HART 413	Visual Arts in Turkey	3	FASS
	HART 414	Post 60 Turkish Art	3	FASS
	HART 432	Post-1945 American Art	3	FASS
	IE 303	Decision Economics	3	FENS
	IE 407	Investment Decision Making	3	FENS
	IE 414	Manufacturing and Digitalization Strategies	3	FENS
	LAW 401	Law, Business and Society	3	FASS
	LAW 403	International Business Law	3	FASS
	MGMT 403	International Business	3	SBS
	MGMT 405	Turkish Managerial Context	3	SBS
	MGMT 414	Negotiation Skills	3	SBS
	MGMT 418	Fundamentals of Family Business	3	SBS
	MGMT 419	Succession & Transfer of Power in Family Business	3	SBS
	NS 201	Discovering Life	3	FENS
	NS 206	What is There in the Universe: Inside the Milky Way?	3	FENS
	NS 208	General Biotechnology	3	FENS
	NS 210	Water: Its Physics, Nanophysics, Chemistry and Geopolitics	3	FENS
	NS 220	World Energy Outlook: The Coming Year	3	FENS
	NS 223	Environmental Science	3	FENS
	OPIM 409	Project Management	3	SBS
	ORG 401	Human Resources Management	3	SBS
	PSY 405	Culture and Cognition	3	FASS
	SOC 305	Corporate Governance and Social Responsibility	3	FASS
	SOC 444	New Social Movements	3	FASS
	VA 310	Introduction to Multimedia	3	FASS
	VA 315	Visual Culture	3	FASS
	VA 333	Content Creation and Design for Websites	3	FASS
	VA 490	Professional Practice as a Designer	3	FASS
	VIS 308	The Business of Art	3	FASS

1.MOTIVATION

The main motivation to start this program is due to the recently growing need for professionals who are educated in decision-making and risk management processes that will take up positions in competitive public and private sector companies, as a result of the marketplaces becoming increasingly global and the digital transformation of business exchanges. While market competition is getting more and more fierce, and the variety and number of types of business risk requires creative strategies, the need to analyze and interpret large-scale databases as a result of technological advances becomes a natural part of using analytics to guide decisions and actions by decision makers. It is therefore of utmost importance for the future of our country to educate professionals who are equipped with tools and techniques that can be used for forecasting, identifying effective approaches for risk mitigation, implementing such approaches and assessing their results.

The program is expected to graduate students who will work in private and public sector companies as well as those who will fulfill the needs of firms and organizations which operate in the consulting and education service sectors. In addition, we anticipate that the graduates of this program will be equipped enough to continue, if they choose, their studies in related graduate programs.

2. PROGRAM

A. DESCRIPTION

The Business Analytics Minor Program offers content on basic applied mathematical economy, qualitative analysis and research techniques, decision analysis, macro and microeconomics, data mining and analysis, stochastic processes, system dynamics and alike, so that the program students can graduate with a strong “Decision Analytics” background and use this background to exploit business databases in making more sound decisions.

The program targets all undergraduate students who are interested in Business Analytics, while it is expected that it will appeal more to the students who are registered in programs such as management, management science, manufacturing systems, industrial engineering and economics.

B. REQUIREMENTS

It is required to be at the beginning of the 6th semester, in the beginning of the term in which the evaluations will be done To get admitted, their overall cumulative GPA must be at least 2.72, and their application must be approved by the Faculty Executive Board.

Students must have successfully completed all credit courses taken in the undergraduate program prior to the semester in which the students apply for admission to the Minor program.

Students who are registered in a Minor Program must complete all courses required by that program and hence complete the total credit requirement, and fulfill other requirements of the program. The minimum required number of credits to complete is 18.

 The number of credits and courses required to graduate from the Business Analytics Minor Program are:

Course Category	ECTS Credits	SU Credits	Courses
Required	-	6	2
Core-Elective	-	6	2
Area-Elective	-	6	2
Total	-	18	6

Students who successfully complete the course requirements with at least 2.72 GPA from these courses will be awarded a certificate.

C. CIRRICULUM

Required Courses:

All courses below are required. It is enough to take one of the course MGMT 203 or MATH 306.

Course Code	Course Name	SU Credits	ECTS Credits	Faculty
MATH 306	Statistical Modeling	3	6	FENS
MGMT 203	Introduction to Data Analysis and Research in Business	3	6	SBS
OPIM 390	Introduction to Business Analytics	3	6	SBS

SBS: Sabancı Business School
FENS: Faculty of Engineering and Natural Sciences

Core-Elective Courses: 2 Courses

2 course in total must be taken from the pool below. It is enough to take one of the course OPIM 410 or IE 405.

Course Code	Course Name	SU Credits	ECTS Credits	Faculty
IE 405	Decision Analysis	3	6	FENS
OPIM 302	Management Information Systems	3	6	SBS
OPIM 402	Analytics for Business Decisions	3	6	SBS
OPIM 405	Management Decision Support Systems	3	6	SBS
OPIM 407	Advanced Business Analytics	3	6	SBS
OPIM 410	Decision Making Under Uncertainty	3	6	SBS

SBS: Sabancı Business School

Area-Elective Courses: 2 Courses

2 course must be taken from the pool below. The extra courses taken from Core Elective pool, are directly counted towards "Area Elective".

Course Code	Course Name	SU Credits	ECTS Credits	Faculty
OPIM 404	Business Process Analysis and Design	3	6	SBS
OPIM 406	Customer Relationship Management Using Location Intelligence	3	6	SBS
OPIM 408	Retail Operations and Marketing Analytics	3	6	SBS
OPIM 411	Fashion Industry and Operations and Pricing	3	6	SBS
OPIM 450	Selected Topics in Operations Management I	3	6	SBS
MKTG 401	Marketing Research	3	6	SBS
MKTG 405	Marketing Strategy	3	6	SBS
MKTG 410	Social Media Marketing	3	6	SBS
CS 404	Artificial Intelligence	3	6	FENS
CS 412	Machine Learning	3	6	FENS
ECON 301	Econometrics	3	7	FASS
ECON 401	Applied Econometrics	3	6	FASS

SBS: Sabancı Business School
FENS: Faculty of Engineering and Natural Sciences
FASS:Faculty of Arts and Social Sciences 

COURSE DESCRIPTIONS

Required Courses

MGMT 203 - Introduction to Data Analysis and Research in Business: This course teaches practical perspectives on research design, data collection, and analysis useful for managers. The scientific method, defining a hypothesis, sources and validity of data, sampling, examining distributions of and relationships between data, basic inferential statistics, linear regression, and ethics in research are topics covered in the course. The course follows a hands-on, skill-building approach using mainly MS Excel and appropriate add-ins for statistical analysis.

Prerequisites: MATH 203

MATH 306 - Statistical Modeling: Statistical inference; estimation, confidence intervals, hypothesis testing; analysis of variance; goodness of fit tests; regression and correlation analysis; Bayesian methods; introduction to design of experiments; use of statistical software.

Prerequisites: MATH 203

OPIM 390 - Introduction to Business Analytics: As an introductory course to this Minor Honors Program, the course will cover topics on the conceptual framework of business analytics, various sectoral application areas and a general introduction to analytical methods used. The course will also cover success stories from different sectors where business analytics is applied, and big data analytics in general, including its application areas, as a new and emerging area of interest.

Prerequisites: ---

Core-Elective Courses

OPIM 302 - Management Information Systems: This course provides a broad introduction to management of information systems. The course discusses tools and techniques for analyzing, designing, building and implementing information systems, taking into account both technological and business factors. Interaction between information systems, competitiveness and organizational design are also covered.

Prerequisites: ---

OPIM 402 - Analytics for Business Decisions: The primary goal of this course is to show the relevance and importance of mathematical modeling as a process of understanding and solving a large variety of complex business problems. The course is oriented toward both problem formulation and problem solving. It uses MS Excel spreadsheets to formulate and solve problems from a wide variety of business areas, such as operations management, finance, accounting, human resources, and marketing. The focus is on  mathematical programming techniques of linear programming and integer programming.

Prerequisites: MGMT 203

OPIM 405 - Management Decision Support Systems: This course presents an overview of decision support methodologies and emphasizes the design of decision support systems using management science models such as production planning, logistics, employee scheduling, stock trading simulation, and portfolio optimization. These systems are developed using Microsoft Excel and VBA. VBA fundamentals are also covered in the course.

Prerequisites: MGMT 203

OPIM 407 - Advanced Business Analytics: The main objective of this course is to present predictive and prescriptive analytics tools in the context of business cases, with an emphasis on implementing analytical approaches within an organization.

Prerequisites: OPIM 390

OPIM 410 - Decision Making Under Uncertainty: This course introduces the theory and practice of decision processes under uncertainty. Under this main topic, it covers such sub-topics as the use of decision trees and influence diagrams in solving decision-making problems, assessing probabilities while modeling under uncertainty, analysis using Bayesian statistical models, value of sampling and perfect information, attitudes towards risk, and the utility theory.

Prerequisites: MGMT 203

Area-Elective Courses

OPIM 404 - Business Process Analysis and Design: This course presents the concepts and tools required for analyzing and designing business processes. It emphasizes the process view of organizations and how to manage processes based on this view. Important process performance measures, process redesign and the associated organizational implications are discussed. Basics of event simulation are introduced to provide students with a strong process analysis methodology. Simulation software is utilized to provide students with hands on experience.

Prerequisites: MGMT 203

OPIM 406 - Customer Relationship Management Using Location Intelligence: This course combines customer relationship management (CRM), a key notion in modern-day customer-centric marketing activities, with the emerging field of location intelligence, i.e. use of location data in business decision-making. The course is co-taught with a Division Manager in banking industry who is also a CRM expert. After introducing fundamental concepts in CRM as well as geographic data and Geographic Information Systems (GIS), the instructors cover several banking cases where location information is used in CRM and marketing activities, campaigns and promotions to increase the accuracy of customer segmentation and targeted marketing. A leading GIS software package is used throughout the course for hands-on exercises and project work. The final deliverable of the course is a project analysis team report.

Prerequisites: ---

OPIM 407 - Business Intelligence and Decision Support Systems: The main objective of this course is for the student to develop an understanding of the role of computer based information systems in direct support of managerial decision making (nowadays commonly referred as business intelligence). Specifically, at the end of this course each student should develop: a) Knowledge about managerial decision making, business intelligence, decision support systems and how they relate to other types of information systems. b) Knowledge about DSS development methodologies and enabling technologies (such as Analytical Hierarchy Processes, Group Support Systems, Expert Systems, Neural Networks, Knowledge Management, Data Warehousing and Data Mining) c) Knowledge about DSS enabling software packages -a general understanding and some hands-on capabilities. 

Prerequisites: MGMT 203

OPIM 408-Retail Operations and Marketing Analytics: Retail Operations and Marketing Analytics Business Intelligence (BI) mainly refers to extracting and analyzing business data in order to make more informed decisions in a rapidly changing business environment. Marketing Intelligence (MI) can be defined as the practice of gathering, and making sense of the gathered data by analyzing them to accurate decision making in determining relevant market opportunities relevant to a company. This course aims at introducing a variety of techniques and tools that can help businesses tackle problems that they face in today's rapidly changing business environment. The course relies on solving a variety of hands on business and marketing problems, as well as case studies. 

OPIM 411-Fashion Industry Operations and Pricing: For over a decade, the fashion industry has been moving towards a global model, which has brought about the need for advanced operations management and pricing methods. This course aims to provide an introduction to these applications. In the first part of the course, an overview of the global fashion retail industry will be provided, with focus on different business models. In the second part of the course, each part of the fashion industry value chain will be discussed, including innovation and new product development in fashion, supply chain management applications in fashion retail, consumer segmentation and pricing, logistics in fashion retail and distribution strategies, brand positioning, extension and growth and customer relationship management. 

Prerequisites: OPIM 301

OPIM 450 - Selected Topics in Operations Management I: Topics of these courses will be announced when they are offered. 

Prerequisites: ---

MKTG 401 - Marketing Research: This course covers planning, designing, conducting, and interpreting marketing research. All the concepts taught will be put in practice through team projects. The practical applications are intended to create an understanding of how market information can be used in solving marketing problems and designing marketing strategy. 

Prerequisites: MKTG 301 and MGMT 203

MKTG 405 - Marketing Strategy: This course develops an understanding of and the skills and experiences needed in formulating and planning a marketing strategy. It gives the students an opportunity to analyze a market, set objectives, developing a marketing strategy, and implement the strategy in a set of realistic situations provided by a computer simulation game.

Prerequisites: MKTG 301

MKTG 410- Social Media Marketing: The course covers a practical method to create viral content (STEPPS), components of social influence (influentials, social networks), social media analytics tools such as textual mining and effects of social media on consumers. Several cases would be a major component of this course. 

Prerequisites: MKTG 301

CS 404 - Artificial Intelligence: This course is a broad technical introduction to fundamental concepts and techniques in artificial intelligence. Topics include expert systems, rule based systems, knowledge representation, search, planning, managing uncertainty, machine learning, and neural networks. Important current application areas of artificial intelligence, such as computer vision, robotics, natural language understanding, and intelligent agents, will be discussed. 

Prerequisites: CS 201

CS 412 - Machine Learning: This is double coded undergraduate/graduate course on machine learning and statistical pattern recognition. The course will start with an overview of probability and continue with the aim, types (supervised, unsupervised…), and limitations of machine learning. We will then cover i) supervised learning techniques (Bayesian decision theory, parametric methods, nearest neighbor methods, decision trees, neural networks, support vector machines) and ii) unsupervised learning techniques (clustering and dimensionality reduction). The course will be quite hands-on, with weekly homeworks. 

Prerequisites: ---

ECON 301 - Econometrics: Simple linear regression, least squares, generalized least squares; goodness of fit; prediction; inference, confidence intervals and hypothesis testing; empirical modeling of economic theory; introduction to econometric packages. 

Prerequisites: MATH 306 and ECON 204

ECON 401 - Applied Econometrics:The purpose of this course is to provide students with state of the art econometric methods for empirical analysis of micro data (individuals, households, firms etc.). Issues related to specification, estimation and identification of different models with cross-section and panel data will be studied. The course has an emphasis both on the econometric techniques and their applications to different topics. Students are expected to read assigned papers and undertake numerous practical assignments using a modern econometric software package.

Prerequisites: ECON 301

1. PURPOSE:
To satisfy the demand in the fields of advanced investment banking, portfolio performance analysis and management, risk management in national and global firms, corporate financial management, internal and external capital management, pension fund planning and management and financial applications of foreign funds in their Turkish offices, to provide value added and to raise finance professionals by coupling theory and practice with the most recent techniques.

2. PROGRAM
A. DEFINITION:
Finance Minor Program aims to communicate under a certain structure the fundamental financial concepts and approaches to students who are interested and aim to specialize in the field of finance. The program will enable students to identify practical financial problems in areas such as portfolio management, derivative securities, risk management, corporate finance and corporate mergers and acquisitions, apply and test popular theoretical models empirically, benefit from financial databases actively for these purposes and use attained results in the process of decision making. Although the target group for the program is all undergraduate students that have an interest in finance, it is expected that students registered in programs that deal with financial problems such as management, operations research and economics will show more interest in the Finance Minor Program.

B. PROGRAM REQUİREMENTS

Students can apply to this minor program earliest at the beginning of the semester following their program declaration and latest at the beginning of their sixth semester. For admission, general GPA must be minimum 2.72 and the application must be accepted by the related Faculty Board.

A student who applies to the minor program should have finished all credit courses taken in the undergraduate program until the semester of application successfully.

Students who are enrolled in the minor programs are responsible for taking all courses that their declared program requires, collecting the required sum of credits and fulfill other obligations that the program carries. The minimum number credits that is necessary to complete the minor program is 18.

Credits and number of courses required for graduation from the Finance Minor Program:
 

Course Category	ECTS	SU Credit	Course
Required	-	3	1
Core Elective	-	12	4
Area Elective	-	3	1
Total	35	18	6

A certificate is given to students who succesfully complete all courses required for the minor program with a minimum GPA of 2.72. 

C.COURSES
Required Courses

 

Course Code	Course Name	ECTS	Su Credit	Faculty
FIN301	Financial Management	6	3	SBS

 

Core Elective Courses

tudents are required to take 4 courses from the list below. As "FIN 402 and IE 407" coded courses are equivalent, "FIN 403 and IE 412" coded courses are equivalent, only one of the equivalent course can be counted as core elective course. Each additional core elective course taken (after completing core elective course degree requirements), can be accounted for area elective course.

Course Code		Course Name	ECTS	SU Credit	Faculty
FIN401		Corporate Finance	6	3	SBS
FIN402		Investments	6	3	SBS
FIN403		Derivative Secirities	6	3	SBS
FIN404		Multinational Corporate Finance	6	3	SBS
FIN405		Corporate Mergers & Acquisitions	6	3	SBS
FIN406		Behavioral Finance	6	3	SBS
FIN407		Venture Capital and Private Equity	6	3	SBS
FIN408		Financial Products	6	3	SBS
FIN409		Banking and Financial Intermediation	6	3	SBS
FIN499		Wealth Management	6	3	SBS
IE 303		Decision Economics	6	3	FENS
IE407		Investment Decision Making	6	3	FENS
IE412		Financial Engineering	6	3	FENS
IE432		Stochastic Models in Finance	6	3	FENS

 

Area Elective Courses

Students are required to take 1 course from the list below.
 

Course Code	Course Name	ECTS	SU Credit	Faculty
ACC 301	Managerial Accounting	6	3	SBS
ACC 401	Intermediate Financial Accounting and Reporting	6	3	SBS
ACC 402	Advanced Issues in Financial Accounting	6	3	SBS
ACC 403	Auditing	6	3	SBS
ACC 404	International Accounting	5	3	SBS
ACC 405	Financial Statement Analysis	6	3	SBS
ACC 450	Selected Topics in Accounting I	5	3	SBS
ACC 451	Selected Topics in Accounting II	5	3	SBS
FIN 450	Selected Topics in Finance I	5	3	SBS
FIN 451	Selected Topics in Finance  II	5	3	SBS
ECON 345	International Finance	6	3	FASS
ECON 350	Financial Institutions and Markets	6	3	FASS
ECON 450	Microeconomics of Banking	6	3	FASS