Entrepreneurship minor program will provide students with a certain level of structure and ability by making use of theoretical and practical contributions made in recent years in the field of Business Administration. The program will ensure that students have a knowledge of and perspective in the major intellectual trends and debates in the areas of entrepreneurship, intrapreneurship and technology management. This minor program helps student prepare themselves to work in related areas by enabling them to establish a close relationship with the business as well as by providing the required theoretical knowledge. One of distinctive features of the program is that it builds 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 program earliest at the beginning of the semester following their major declaration For admission, students must have a minimum GPA of 2.72 and 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 successfully 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 |
|---|---|---|---|---|
|
|
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 courses 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 Business Analytics Minor Program is established to address the recently growing need for professionals who are educated in decision-making and risk management processes 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 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 is established to address the offers content on basic applied mathematical economy, qualitative analysis and research techniques, decision analysis, macro and microeconomics, data mining and analysis, stochastic processes, and system dynamics, so that the program students can graduate with a strong “Decision Analytics” background and use this background to exploit business databases to make reliable 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
To be eligible for application, students must be latest in their 6th semester. For admisson, students must have a minimum GPA of 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 they apply for admission to the minor program.
Students who are registered to the 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 the minor program 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 minimum GPA of 2.72 will be awarded a certificate.
C. CURRICULUM
Required Courses:
All courses below are required. It is enough to take only one of MGMT 203 or MATH 306.
| Course Code | Course Name | SU Credits | ECTS Credits | Faculty |
|---|---|---|---|---|
|
|
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 courses in total must be taken from the pool below. It is enough to take only one of 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 courses must be taken from the pool below. The extra courses taken from Core Elective pool are directly counted as "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 REQUIREMENTS
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 are 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 successfully 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
Students are required to take 4 courses from the list below. As "FIN 402 and IE 407" coded courses are equivalent and "FIN 403 and IE 412" coded courses are equivalent, only one of the equivalent courses can be counted as a core elective course. Each additional core elective course taken (after completing core elective course degree requirements), can be accounted for as an area elective course.
| Course Code | Course Name | ECTS | SU Credit | Faculty | |
|---|---|---|---|---|---|
| FIN401 | Corporate Finance | 6 | 3 | SBS | |
| FIN402 | Investments | 6 | 3 | SBS | |
| FIN403 | Derivative Securities | 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 |