Finance and Analytics Department

Majors Offered


Business Data Analytics

Minors Offered


Finance Courses

FINC-300 Financial Statement Analysis

Study of the information contained in balance sheets, income statements, statements of cash flow, and footnotes in the annual reports of corporations. Includes analysis of the relationships and predictability of such information. The course includes case studies, computerized analyses and library research. Prerequisite: ACCT-200. 4 SH.

FINC-340 Corporate Financial Management

Examines the theory and practice of corporate financial management. Topics include the financial environment, time value of money, bond and stock valuation, and the capital asset pricing model. Also covers analysis of financial statements, financial forecasting, capital budgeting, long-term financing decisions, the cost of capital, capital structure, dividend policy and working capital management. Prerequisites: ACCT-200, Introductory statistics course, (MATH-108, MATH-180, MGMT-202 or PSYC-123) and either ECON-105 or both ECON-201 and ECON-202. 4 SH.

FINC-342 Investment Analysis

Examines various investment vehicles within a risk and return framework. Topics include the structure and operation of markets, use of margin, short sales, stock market indexes, mutual funds, efficient market hypothesis, stock and bond valuation, duration, international investing, call and put options, futures contracts, real estate, and portfolio management. Uses a mutual fund study, a stock valuation exercise and a computer database to increase knowledge and experience in investment management. Prerequisite: FINC-340. 4 SH.

FINC-344 Financial Institutions and Markets

Focuses on the financial services industries and financial markets in the U.S. economy. Topics include the structure of the financial markets and the roles of the financial services industry and the federal government in these markets; the valuation of fixed-income securities; risk-return trade-offs in capital markets; hedging and the use of financial derivatives to manage interest rate risk, foreign exchange risk, credit risk and liquidity risk; asset-liability-liquidity management emphasizing GAP and duration analysis; and mergers and acquisitions. Prerequisite: FINC-340. 4 SH.

FINC-345 International Financial Management

Examines the theoretical and practical analysis of the financing and investment decisions of multinational firms operating in international financial markets. Topics include international asset valuation, international financing and investments, foreign currency, foreign exchange risk exposure and country risk management. Prerequisite: FINC-340. 4 SH.

FINC-441 Advanced Corporate Financial Management

A brief review of MGMT-340 with additional depth in such topics as risk and return, cost of capital, capital structures theory and practice, capital budgeting, and financial statement analysis. Expands to cover topics such as lease financing and debt refinancing. Uses case studies to apply these concepts and theories. Prerequisite: FINC-340. 4 SH.

FINC-442 Portfolio Management

This course is designed to focus on the work of portfolio managers. Students will learn how to establish appropriate investment objectives, develop optimal portfolio strategies, estimate risk-return trade-offs, select investment managers and evaluate investment performance. Many of the latest quantitative approaches in portfolio formation and evaluation are discussed. This course will draw upon selected materials from the CFA professional designation curriculum. This class is one of the two courses that make up the "Susquehanna Student Investment Program, SUSIP." Prerequisite: FINC-342. 4 SH.

FINC-443 Equity Asset Analysis and Valuation

Examines various investment techniques using empirical analysis within the framework of modern portfolio theory. The course features a top-down fundamental analysis approach using both economic and industry financial data. Topics include macroeconomics, portfolio analysis, financial statement analysis, traditional investment theory, intrinsic security valuation, efficient market hypothesis, executive compensation, insider trading, and advanced technical writing and oral presentations. Prerequisite: FINC-340. 4 SH.

FINC-445 Financial Modeling and Fixed Income Analysis

This course focuses on securities that promise a fixed income stream. Topics include features of bonds, risk of bonds, yield spreads, duration, convexity, term structure, volatility of interest rates, and CDO's. Financial models are developed using Excel and focusing on extraction of financial data and converting it into models useful for financial decision-making. Prerequisites: FINC-340 and instructor’s permission. 4 SH.

FINC-446 Topics in Finance

Topics of current importance and interest in finance. Prerequisites: FINC-340. 2-4 SH.

Information Systems Courses

INFS-174 Data Collection and Modeling

This course deals primarily with projects that collect and structure data as part of the preparation for data analysis and visualization. Major emphasis is placed on managing a data collection project and data structuring to provide the basis for algorithmic analysis. Students will study project management, data manipulation, data modeling, and Structured Query Language. 4 SH.

INFS-233 Data Driven Decision Making

This course enables students to advance their knowledge of statistical techniques to synthesize, analyze and draw insights from quantitative data. It emphasizes the application of mathematical and quantitative methods and Microsoft Excel to analyze and present data to improve business and economic decision making. Prerequisite: MATH-108, MATH-180, MGMT-202 or PSYC-123. 2 SH.

INFS-271 E-Business Applications Development

An introduction to the basics of client/server computing and Web-based system development. The course covers the concepts of networking, Web technologies, HTML (hyper-text markup language), client-side scripting (JavaScript), server-side scripting (PHP, ASP, and ISP), and structured query language (SQL) The course builds upon Database Systems Analysis and Design by linking an interactive Web design to a database. Prerequisite: INFS-174. 4 SH.

INFS-276 Simulation Models

Design, development and use of computer models for planning, allocation and scheduling in the manufacturing and service sectors. Uses queuing theory and statistical analysis to interpret results. Includes the use of Simul8 or some other special-purpose simulation language. Prerequisites: A statistics course such as MATH-108, MATH-180, MGMT-202, PSYC-123 or equivalent, and COMM-101. 2 SH.

INFS-375 Database Programming

A practical course to teach database programming in SQL. Topics include relational database management systems fundamentals such as extended entity-relationship modeling, normalization and physical database file organization. Additional topics include database administration and data warehousing. Students develop a prototype database for an actual client. Prerequisites: CSCI-181, INFS-174 or CSCI-281. 4 SH.

INFS-472 Data Insight and Visualization

This course provides a framework for understanding the technologies associated with algorithmic analysis and data presentation for business decision-making. Students will study analysis techniques that enable insights and patterns to be drawn from descriptive, predictive, and prescriptive analytics. Tools that support these techniques will be researched and presented by student teams, and they will also be investigated through Individual research projects. Prerequisites: INFS-174 and INFS-233. 4 SH. CC: Team Intensive, Writing Intensive.

INFS-485 Artificial Intelligence

A brief summary of the tools, techniques and applications of artificial intelligence. Introduces problem solving and knowledge representation and selects topics from techniques for constructing models, robot design, language processing, computer vision, neural networks and expert systems. Same as CSCI-485. Prerequisites: CSCI-281, MATH-111 and either MATH-108 or MATH-180. 2 SH.

INFS-496 Topics in Information Systems

Topics of current importance and interest in information systems. Emphasizes readings from the current literature. Prerequisite: Instructor's permission. 2 or 4 SH.

INFS-501 Independent Study

Individualized academic work for qualified students under faculty direction. Usually studies special topics not covered in regularly offered courses. Prerequisites: Junior or senior standing and approval of instructor and department head. 2 -4 SH.

INFS-502 Independent Research

A research project culminating in a substantive paper on a selected topic or field in computer science or information systems by arrangement with an instructor. Prerequisites: Junior or senior standing and permission of computer science department head or information systems department head. 2-4 SH.

INFS-503 Information Systems Internship

On-the-job supervised experience in a corporate or nonprofit organization. Prerequisites: Permission of internship coordinator and acceptance by organization. 2-8 SH.

INFS-505 Capstone

This semester-long course serves as a capstone experience for business data science majors. Students will engage in projects that can benefit a university or community group involving data analytics.

This course requires students to integrate principles learned from their data science and business foundations coursework. These projects will change each year based on requests and arrangements made through the faculty in the Department of Management. The projects largely will focus the students on the development of data analytical solutions to solve analytical problems associated with large volumes of data. Prerequisites: INFS-174, CSCI-301, and senior standing. 2 SH. Capstone.

Shan Yan, Ph.D.

Department: Finance and Analytics
Associate Professor of Finance and Analytics

Email Address
Phone Number 570-372-4499

Ali H.M. Zadeh, Ph.D.

Department: Finance and Analytics
Professor of Finance and Analytics

Pat Polwitoon, Ph.D.

Department: Finance and Analytics
Associate Professor of Finance and Analytics

Email Address
Phone Number 570-372-4749

James J. Pomykalski, Ph.D.

Department: Finance and Analytics
Associate Professor of Finance and Analytics

Peter Dadalt, Ph.D.

Department: Finance and Analytics
Assistant Professor of Finance and Analytics

Email Address
Phone Number 570-372-4524

Anjee Gorkhali

Department: Finance and Analytics
Assistant Professor of Finance and Analytics