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Graduate Certificate Programs
With the aim of making financial systems more efficient, financial technology exists at the intersection of information systems and finance. Financial technology is a range of disruptive technological approaches within the money, market, marketplace, and financial infrastructure spheres. From cryptocurrencies and blockchain to enterprise software and asset management via roboadvisors, financial service functions are increasingly based on growing and innovative technology.
- FIN 5310 Financial Modeling
- IST 5420 Business Analytics and Data Science
Choose one course from the following:
- FIN 5160 Corporate Finance II
- FIN 5160 Corporate Finance II
- BUS 5230 Financial Statement Analysis
Choose one course from the following:
- BUS 6723 Artificial Intelligence, Robotics, and Inforation Systems Management
- IST 5520 Data Science and machine Learning with Python
- IST 6450 Information Visualization
- IST 6780 Advanced Human and Organizational Factors in Cybersecurity
- ERP 5210 Performance Dashboards, Scoreboards, and Data Visualization
FIN 5310 Financial Modeling
This course is built on finance theory, financial analysis, and quantitative methods from prerequisite courses. The course will extensively use Excel spreadsheets to design and construct integrated financial models. The objective is to offer students opportunities to experience hands-on numerical analyses, company valuation, and dynamic projections. Prerequisite: Finance 2150 or Graduate Standing.
IST 5420 Business Analytics and Data Science
Analysis of large business data sets via statistical summaries, cross-tabulation, correlation, and variance matrices. Techniques in model selection, prediction, and validation utilizing general linear and logistic regression, Bayesian methods, clustering, and visualization. Extensive programming in R is expected. Prerequisite: Calculus, Statistics, and Programming knowledge.
FIN 5160 Corporate Finance II
This course provides a rigorous and consistent presentation of the theory of financial decisions. Capital markets are analyzed under assumptions of risk aversion and uncertainty. Models of modern portfolio theory are discussed including the CAPM and the Modigliani-Miller analysis. Prerequisite: Finance 2150
FIN 5260 Investments I
Introduction to fundamental elements of investment analysis. Students learn financial tools and gain necessary knowledge to select among alternative financial assets. Real world experience includes stock analysis, portfolio simulations and interactions with professionals in the securities industry. Prerequisite: Finance 2150
BUS 5230 Financial Statement Analysis
Analysis and interpretation of financial statements for profitability analysis, credit analysis, and other business analyses that rely on financial data. Introduces emerging roles of accounting analytics. Illustrates data analytics concepts and techniques to detect earning management, predict fraud, and to provide insights into other business strategies. Prerequisite: Finance 2150 or graduate standing.
BUS 6723 Artificial Intelligence, Robotics, and Inforation Systems Management
The course, designed for business executives, covers management of information to revitalize business processes, improve business decision-making, embrace emerging and disruptive technologies, and gain competitive advantages. The course also covers implications of AI, automation, machine learning, and robotics on business and society. MBA core. Prerequisite: Graduate standing.
IST 5520 Data Science and machine Learning with Python
Examines data science methodologies for scraping, manipulating, transforming, cleaning, visualizing, summarizing, and modeling largescale data as well as supervised and unsupervised machine learning algorithms applied in various business analytics and data science scenarios. Python libraries such as Pandas, NumPy, Matplotib, and Scikitlearn are utilized. Prerequisites: Graduate Standing and Knowledge of Calculus, Statistics, and Programming.
IST 6450 Information Visualization
Topics/activities include: the visualization development framework, traditional presentations of data, human perception and aesthetics, colorspace theory, visualization algorithms and software, case studies of modern topology, research into visualization algorithms and implementations in R. Students will produce significant programs and visualizations. Prerequisites: Statistics, Calculus, and Programming Knowledge.
IST 6780 Advanced Human and Organizational Factors in Cybersecurity
In-depth examination of human and organizational factors in cybersecurity and information assurance. Examines current challenges to protecting the integrity, availability, and confidentiality of information, as well as tools, methods, principles, and analytics for fraud prevention, insider threat detection, and forensic investigations. Project Required. Prerequisite: None, but recommended: IS&T 3333 or IS&T 6336 or Comp Sci 3600 or another introductory cybersecurity or information assurance course.
ERP 5210 Performance Dashboards, Scoreboards, and Data Visualization
This course will study different performance management systems including dashboards, management cockpit, scorecards, and strategy maps in an organization. SAP’s BW, Business Objects Xcelsius, Crystal Reports, Sybase Unwired Platform will be used to develop the applications. Prerequisite: ERP 2110 or preceded or accompanied by ERP 5110.
The graduate certificate program is open to all individuals holding a bachelor’s, master’s or Ph.D. degree in areas such as business, social sciences, technology, engineering, or related disciplines.
In order to receive a Graduate Certificate, the student must have an average graduate cumulative grade point of 3.0 or better on a 4.0 scale in the certificate courses taken. Students admitted only to the certificate program will have non-degree graduate status but will earn graduate credit for the courses they complete.
If the four-course sequence approved by the graduate advisor is completed with a grade of B or better in each of the courses taken, the student will, upon application, be admitted to the Master of Business Administration or to the Master of Science in Information Science and Technology. The certificate courses taken by students admitted to the program will count towards the MBA program or the M.S. in Information Science and Technology degree program.
Once admitted to the Certificate program, a student will be given three years to complete the program as long as a B or better average is maintained in the courses taken
Graduate certificates are designed as a gateway to a master’s degree*. If a student earns a B or better in each certificate course they may continue for the graduate degree (in the corresponding department), without needing to submit GRE/GMAT scores, or letters of recommendation. Graduate certificates were designed for working professionals who have real life work experience and may not have time to take the GRE/GMAT. Admission requirements for the graduate certificate program are also more relaxed than the graduate degree. This graduate certificate may act as a gateway to the following master’s programs:
(Applicants must indicate which program they wish to use the certificate as a gateway for when initially applying for the certificate).
*Completion of a graduate certificate program does not automatically guarantee admission into a corresponding graduate degree program. To continue in a master’s degree program, you must apply. Click here for details and check with academic department for program specific details and requirements.
Effective July 1, 2011, the Department of Education requires that all certificate programs must disclose particular Gainful Employment information to current and prospective students. The information that is provided in the disclosure includes the estimated cost of the certificate program as well as on-time graduation and job placement rates for this particular certificate program.
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