Enrollment in the course is limited. Data science involves the application of scientific methodologies to extract understanding from and make predictions based on data sets from a broad range of sources. The objective of this course is to teach the programming skills relevant to data science. Students will learn the Python programming language, along with a complete set of open source tools for data science in Python, including the IPython Notebook, NumPy, SciPy, Pandas, matplotlib, scikit-learn and many others.
The course will utilize data from a wide range of sources and will culminate with a final project and presentation. Focuses on the strategic role of human resources HR planning and development. Addresses the creation of value through the HR function. Includes topics on linking HR and strategic planning; the transformational impact of information technology, process engineering, and outsourcing on the employment relationship; and an HR perspective on building a high-performance organization.
Course has a special emphasis on high-technology organizations. Topics include frameworks for understanding how customers make decisions and adopt innovations; metrics for assessing customer attitudes, satisfaction, and loyalty; methods for segmenting a market; and measures of brand equity.
The focus throughout is on techniques for gathering and analyzing data on customers and markets in both online and traditional channels. Addresses B-to-B and B-to-C decision processes in rapidly changing markets. Online Concentration Courses The following courses fulfill the requirements for each of the four available online concentrations for the Online MBA program.
Data Science and Business Analytics Courses. Prepares managers to 1 identify the competitive advantages that come from leveraged analytics, 2 apply the tools and evaluate the advantages and limitations of each, 3 implement these tools and ask relevant business questions that could be solved with them, and 4 interpret the input and communicate the output from such tools and models to achieve more profitable business decisions.
The objective of this course is to provide a comprehensive background in the mathematical topics required for learning quantitative finance QF and business analytics and data science BADS. The mathematical topics covered include calculus, linear algebra, and probability theory.
Applications of these topics in a variety of business contexts will be learned with R. Data analytics involves the application of scientific methodologies to extract, understand, and make predictions based on data sets from a broad range of sources. Students will learn to use a complete set of open source tools for data science in Python, including the Jupyter Notebook, NumPy, Pandas, Seaborn, scikit-learn, Colab, and many others.
Students will learn skills that cover the various phases of exploratory data analysis: importing data, cleaning and transforming data, algorithmic thinking, grouping, aggregation, reshaping, visualization, time series, statistical modeling, and data exploration and communication of results.
This course introduces database management and database management systems DBMS. Teaches technical and managerial skills in database planning, analysis, logical design, physical design, implementation, and maintenance.
Features hands-on training in database design, development, and implementation using relational DBMS software. Emphasizes designing and developing reliable databases to support organizational management. This course is designed to provide a comprehensive introduction to forecasting methods used in time series analysis.
The class covers a range of topics in time series forecasting. This course covers key issues in panel data analysis, with an emphasis on their applications in empirical research, especially empirical corporate finance. The course aims to introduce various econometric methods for analyzing panel data and develop core techniques to identify causal relations in the data.
We will begin with the standard linear regressions, and extend to pooled, fixed effect, and random effect regression models; instrumental variables; differences-in-differences; selection models; and regression discontinuity. Students will be exposed to a broad range of applications in finance through reading academic papers and conducting their own empirical analysis. This course introduces participants to quantitative techniques and algorithms that are based on big data numerical and textual or are theoretical models of big systems or optimization that are currently being used widely in business.
It introduces topics that are often qualitative but that are now amenable to quantitative treatment. The course will prepare participants for more rigorous analysis of large data sets as well as introduce machine learning models and data analytics for business intelligence.
Investigates and examines priorities of exemplary leaders. Emphasizes developing conceptual understanding of the leadership process and on building leadership skills. Classes are often experiential and highly reflective, using written and video case studies.
Some team assignments may be made. Studies the behavior of individuals, groups, and organizations in the context of cooperative and competitive situations. Examines the theory and processes of negotiation so the student can negotiate successfully in a variety of settings. Designed to be relevant to the broad spectrum of negotiation problems faced by managers and professionals.
Considers that while a manager needs analytical skills to discover optimal solutions to problems, a broad array of negotiation skills is needed to get these solutions accepted and implemented. Gives students the opportunity to develop these skills experientially and to understand negotiation in useful analytical frameworks. MGMT , Entrepreneurship 4 units. This course looks at the practice of business innovation and entrepreneurship with an emphasis on how entrepreneurs recognize opportunities, communicate ideas, innovate, develop products, and build organizations.
The techniques and skills apply to both startups and established ventures. This course is an introductory course intended to provide a foundation regarding the role of entrepreneurship and entrepreneurs in society and economy. As such, this class will explore what entrepreneurship means from several angles including how a person can be entrepreneurial in his or her own life—right now.
This is an energized course about discovering entrepreneurship in and out of the firm. Presents the product manager or marketer as a generalist with responsibility for the multifunctional, multidisciplinary approach required to develop, launch, and manage successful products by combining elements of product development, product launch planning, and product management.
Includes in-depth treatments of product life cycle analysis, buyer utility, competitive set, customer and market analysis, pricing, and the product launch process.
Introduces the concept of integrated marketing communications IMC. Provides a basic understanding of communication theory, marketing, branding, integrating marcom tactics, planning and coordinating IMC programs.
Addresses marcom tactics of advertising, public relations, direct response, collateral, the internet, and digital media. Addresses business-to-business and high-technology marketing communications. Incorporates a thorough understanding of objectives, strategies, tactics, and budgeting. Especially in high technology markets, where new purchases are capital investments measured by impact to the business and return on investment, a product's value proposition has to be extremely clear, tangible and differentiated in order to achieve vendor preference, as well as maintain desired pricing and margin levels.
This two-credit-hour course focuses on proven, effective strategies for understanding customer requirements and translating them into clear, digestible, and differentiated messaging statements.
We will provide strategies and examples to achieve strong competitive positioning, as well as how and when to re- define an entire market vs. In the past few years, social media has become a popular platform for consumers to share their opinions about the products and services they buy. Marketers, in turn, are using social media to not only gain insights from their customers but also connect to and communicate with them. Currently, it is critical for most marketers to have a social media presence as they leverage this platform to grow their business.
This course focuses on how marketers can translate insights from social media data into actionable marketing strategies and tactics. We first need to understand the basics of social media, viral marketing, and data generation. We will explore who is posting content and why are they posting. Second, we will learn how to analyze data generated through social media. This includes both numerical data, such as Amazon ratings, Facebook likes, and Twitter tweets, and textual data, such as the comments written on Facebook, blogs, and many other social media platforms.
Finally, we will focus on actionable marketing decisions based on social media data analysis. This includes responding to user comments or integrating social media marketing with traditional paid media. The course is not designed to teach you how each social media platform works. Discusses implementing finance theory for valuation problems.
Provides practical valuation tools for valuing a company and its securities. Covers valuation techniques including discounted cash-flow analysis, estimated cost of capital, market multiples, free-cash flow, and pro forma models. FNCE , Investments 4 units. Investment knowledge is important to investment professionals, such as portfolio managers and financial advisers.
They must know how to evaluate and select stocks, bonds, options, and other securities, and how to guide investors to fitting portfolios and good investment behavior. Investment knowledge is also important to all of us as individual investors. The world of investment is changing rapidly as investment responsibilities and power move into the hands of individuals. The typical retirement plan is now a k type defined contribution savings plan where individuals make investments decisions and live by their outcomes.
It presents side by side standard and behavioral investment theory, evidence, and practice. These also include analysis of financial markets, such as stock exchanges, and securities, such as stocks, bonds, options, and futures. Examines the design, valuation, and risk management of derivative securities futures, options, etc. Includes topics on arbitrage theory, futures, equity options, bond options, credit derivatives, swaps, and currency derivatives.
Mathematical modeling of derivatives, including implementation and applications in investments, corporate finance, and risk management. On-Campus Electives Online MBA students may take elective courses on campus that are not currently offered online, providing more flexibility and increasing the number of electives available each term.
This course focuses on economic forecasting. Many decisions made in business, economics, finance, and government depend on the forecasts that are constantly generated in these and other disciplines. This course will introduce the students to econometric time-series models and methods that can be used to generate forecasts.
A wide range of topics will be covered, including basic concepts of time-series forecasting, trends and seasonality, ARIMA processes, and evaluation of forecasts. Illustrative examples applying these techniques to actual data will be presented in class, and students will perform a variety of data analyses on the computer. Upon completion of this course, students will have mastered basic properties of time-series forecasting models, and they will be able to skillfully select appropriate forecasting models to fit real world data sets and generate their own forecasts.
Deals with the basic and advanced concepts of corporate finance, particularly the role of the financial manager and the goal of financial management. Studies financial issues specific to firms operating internationally.
Examines the global financial environment, agency problems and corporate governance, international financial markets, exchange rate behavior, and corporate hedging decisions using currency options, currency futures, forward and cross-currency interest rate swaps by the multinational corporation MNC , and understanding international parity relations.
Studies financial service companies such as commercial banks, investment banks, and insurance companies from the perspective of a corporate issuer. Reviews valuation tools. Emphasizes the analysis of a corporation's funding alternatives under regulatory constraints, interest rate risk management, and the relation between financial institutions and financial markets.
Other topics may include the evolution of financial intermediaries and current developments in financial regulation. Examines corporate governance and corporate restructuring. Emphasizes how corporate ownership, control, and organizational structures affect firm value.
Other topics include valuing merger candidates, agency theory, and takeover regulation. Focuses on the risks, practices, and problems particular to financing and investing in real property.
Teaches the concepts and techniques necessary to analyze financial decisions embedded in property development and investment. Explores business risk management using futures and options.
Considers the institutional features of futures and option pricing. Covers managing financial risks such as foreign currency positions and general interest rate risk management, and includes estimation of option-related metrics such as hedge ratios.
With undergraduate programs in arts and sciences, business, and engineering, and graduate programs in six disciplines, the curriculum blends high-tech innovation with social consciousness grounded in the year tradition of Jesuit, Catholic education. For more information, visit www. About Everspring Everspring is a leading provider of education technology and services solutions for higher education. Our advanced technology, proven marketing approach, and robust faculty support and instructional design services deliver outstanding outcomes for our university partners, powering their success online.
Everspring offers a range of full-service turnkey solutions, as well as standalone fee-for-service offerings, and innovative self-service products that enable universities to establish themselves as leaders in the digital delivery of higher education. The School of Law Career Services Office assists students with their career planning through individual counseling, workshops on topics such as resume writing, interviewing and job search strategies.
Program The School of Law seeks applicants with strong academic backgrounds who have earned a baccalaureate degree in any discipline. Applicants to the School of Law must complete the following steps: Return the application for admissions to the Admissions Office with the required application fee. Take the Law School Admission Test.
The test is offered four times a year and must be taken by February in the desired year of enrollment. Tests scores are generally considered current for four years.
If the test is taken more than once, the highest score will be considered. Upon acceptance, make the tuition deposits required to hold a seat in the entering class. Program The M. Application requirements are: Completed application with the required application fee. Essay question responses two required, one optional. Two confidential letters of recommendation letters used for Law School Admission are not admissible.
Waivers are available for qualified candidates, please contact the MBA Admissions Office at gradbusiness scu. Transcripts from all undergraduate and graduate institutions attended if not on file at the law school. Course of Study Students enrolled in the combined degree program plan a specific course of study with the program advisors.
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