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Undergraduate

Minor Programs

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

Students may apply to this Minor program no earlier than the beginning of the semester that follows the semester where they declare their undergraduate major program, and no later than the beginning of the sixth semester of their studies. 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 SU Credits ECTS Credits Courses
Required 6 12 2
Core-Elective 6 12 2
Area-Elective 6 12 2
Total 18 36 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:

Two courses are required from the courses listed below. Students are required to choose either MGMT 203 or MATH 306.

Course Code Course Name SU Credits ECTS Credits Faculty

MGMT 203 
      or
MATH 306

Introduction to Data Analysis and Research in Business 
  or 
Statistical Modeling
3 6

SOM
or
FENS

OPIM 390

Introduction to Business Analytics 3 6

SOM

SOM: School of Management
FENS: Faculty of Engineering and Natural Sciences

Core-Elective Courses: 2 Courses

Students must take 2 courses from the following pool of courses.

Course Code Course Name SU Credits ECTS Credits Faculty
OPIM 302 Management Information Systems 3 6 SOM
OPIM 402 Analytics for Business Decisions 3 6 SOM
OPIM 405 Management Decision Support Systems 3 6 SOM
OPIM 410 Decision Making Under Uncertainty 3 6 SOM

SOM: School of Management

Area-Elective Courses: 2 Courses

Students must take 2 courses from the following pool of courses.

Course Code Course Name SU Credits ECTS Credits Faculty
OPIM 404 Business Process Analysis and Design 3 6 SOM
OPIM 406 Customer Relationship Management Using Location Intelligence 3 6 SOM
OPIM 407 Business Intelligence and Decision Support Systems 3 6 SOM
OPIM 450 Selected Topics in Operations Management I 3 6 SOM
MKTG 401 Marketing Research 3 6 SOM
MKTG 405 Marketing Strategy 3 6 SOM
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

SOM: School of Management
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 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 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

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

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. Enrepreneurship 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

Credit

Course

Required

11

5

Area Elective

9

3

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

Credit

MGMT 401 
or 
MGMT 413

Business Strategy
or 
Strategic Innovation

3

MGMT 415

Entrepreneurial Technologic Commercialization

3

MGMT 402 

Entrepreneurship

3

MGMT 495

Entrepreneurial Skills Workshop 1

1

MGMT 496

Entrepreneurial Skills Workshop 2

1

Area Elective Courses

Choose three courses from the list below, you can take only one course from each faculty.

Course Code

Course Name

Credit

Faculty

MGMT 403

International Business 

3

SOM

MGMT 404

Technology Management

3

SOM

MGMT 412

Social Innovation and Entrepreneurship

3

SOM

ORG 401

Human Resources Management  

3

SOM

MKTG 301

Introduction to Marketing

3

SOM

ACC201

Introduction to Financial Accounting and Reporting

3

SOM

ENS 205

Introduction to Materials Science I   

3

FENS

ENS 207

Introduction to Energy Systems 

3

FENS

ENS 208

Introduction to Manufacturing Systems

3

FENS

ENS 209

Introduction to Computer Aided Drafting and Solid Modeling

3

FENS

ENS 302

Technology and Society

3

FENS

NS 210

Water: Its Physics, Nanophysics, Chemistry and Geopolitics I 

3

FENS

NS 208

General Biotechnology    

3

FENS

MS 407

Investment Decision Making  

3

FENS

ECON 346

Global Finance and Multinational Corporation

3

FASS

ECON 347

Essentials of Project and Infrastructure Finance

3

FASS

ECON 412

Competition and Regulation

3

FASS

LAW 403

International Business Law

3

FASS

VA 490

Professional Practice as a Designer

3

FASS

ECON 201

Games and Strategies

3

FASS

LAW 401

Law, Business and Society

3

FASS

ECON 350

Financial Institutions and Markets    

3

FASS

ECON 492

Seminar on the Turkish Economy    

3

FASS

HART 414

Post-60 Turkish Art 

3

FASS

CULT 391

Turkish Culture: Critical Perspectives

3

FASS

Sabancı University School of Management Finance Minor Program

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 6 3 1
Core Elective 24 12 4
Area Elective 5 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 Dersler

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

 

or

Course Code Course Name ECTS Su Credit Faculty
IE303 Decision Economics  6  3  FENS

 

Core Elective Courses

Students are required to take 4 courses from the list below.

Course Code Course Name ECTS SU Credit Faculty
FIN401 Corporate Finance 6 3 SOM
FIN402-MS407 Investments/Investment Decision Making 6 3 SOM
FIN403/MS412 Derivative Secirities/Financial Engineering 6 3 SOM
FIN404 Multinational Corporate Finance 6 3 SOM
FIN405 Corporate Mergers & Acquisitions 6 3 SOM
FIN499 Wealth Management 6 3 SOM
MS432 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
ACC201 Introduction to Financial Accounting and Reporting 6 3 SOM
ACC301 Managerial Accounting 6 3 SOM
ACC401 Intermediate Financial Accounting and Reporting 6 3 SOM
ACC402 Advanced Issues in Financial Accounting 6 3 SOM
ACC403 Auditing 6 3 SOM
ACC404 International Accounting 5 3 SOM
ACC405 Financial Statement Analysis 6 3 SOM
ACC450 Selected Topics in Accounting I 5 3 SOM
ACC451 Selected Topics in Accounting II 5 3 SOM
FIN450 Selected Topics in Finance I 5 3 SOM
FIN451 Selected Topics in Finance  II 5 3 SOM
ECON345 International Finance 6 3 SOM
ECON350 Financial Institutions and Markets 6 3 SOM
ECON450 Microeconomics of Banking 6 3 SOM

 

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