Master's in Business Analytics Program

 

Meet the future of data and decision-making.

Discover the next frontier of business analytics. With a curriculum focused on real-world applications, our Master’s in Business Analytics program prepares you to make data-driven decisions that move businesses and entire industries forward. In just 10-16 months, you’ll build analytics expertise and strategic business skills—so you can harness the power of data to change the business landscape as we know it.

5

dual-degrees options: MBA, MSA, MSF, MS MIS, MSM

10-16

months of immersive learning

$200+

million in research funding for MIS faculty

What You’ll Learn

  • Develop advanced analytical methods

  • Hone your data management and statistics expertise

  • Use what you learn to solve real-world problems

  • Immerse yourself in the future of data-centric decision making


The Curriculum

Taught by world-class faculty and built on the foundation of our top-five MIS program, the Master’s in Business Analytics program not only helps you build in-demand analytics skills, it helps turn you into an effective decision maker on a global economic scale.

You’ll start by diving deep into three key areas: data management, statistics and analytical methods. Then you’ll have the opportunity to explore electives in accounting, economics, finance, management, management information systems and marketing.

If you choose one of our dual-degree options, you’ll spend your final semesters rounding out your requirements—and anticipating the job offers that make it all worthwhile.

Students have the option of completing the 33-unit program in two or three semesters (10 or 16 months). A summer internship is possible in the three-semester program.

Sample 10-Month Program of Study (May Graduation)

Summer
(Pre-Fall)
Fall Spring
Online Bootcamp
Programming: CBT or Pass Proficiency Test (no credit)
MKTG 552 Introduction to Statistics (8 weeks; 2 units) MKTG 555B Experimentation and Data Analysis (8 weeks; 2 units)
Online Bootcamp
SQL/RDB Overview (fulfills prerequisite for MIS 587; 1 unit)
MKTG 555A Regression Modeling for Analytics (8 weeks; 2 units) MIS 545 Data Mining for Business Intelligence (3 units)
Orientation Week 
Introduction to Business Analytics (2 credits)
MIS 561 Data Visualization (3 units) MIS 587 Business Intelligence (3 units)
  MIS 584 Big Data Analytics (3 units) BNAD 597A Business Consulting (3 units)
  MIS 509 Business Communications (3 units) Elective (focus may include econometrics, marketing, finance, forensic accounting or information technology; 3 units)
  Elective (focus may include econometrics, marketing, finance, forensic accounting or information technology; 3 units)  
Total: 3 units Total: 16 units Total: 14 units

Sample 16-Month Program of Study (December Graduation)

Summer
(Pre-Fall)
Fall Spring Summer Fall
Online Bootcamp
Programming: CBT or Pass Proficiency Test (no credit)
MKTG 552 Introduction to Statistics (8 weeks; 2 units) MKTG 555B Experimentation and Data Analysis (8 weeks; 2 units) Internship (optional) MIS 584 Big Data Analytics (3 units)
Online Bootcamp
SQL/RDB Overview (fulfills prerequisite for MIS 587; 1 unit)
MKTG 555A Regression Modeling for Analytics (8 weeks; 2 units) MIS 545 Data Mining for Business Intelligence (3 units)   Elective (focus may include econometrics, marketing, finance, forensic accounting or information technology; 3 units)
Orientation Week 
Introduction to Business Analytics (2 credits)
MIS 561 Data Visualization (3 units) MIS 587 Business Intelligence (3 units)   Elective (focus may include econometrics, marketing, finance, forensic accounting or information technology; 3 units)
  MIS 509 Business Communications (3 units) BNAD 597A Business Consulting (3 units)    
Total: 3 units Total: 10 units  Total: 11 units   Total: 9 units

Courses

Introduction to the language and methods of business analytics. Topics to include overview of business data structures; analytic methods in marketing, finance, human resources, supply chain/e-commerce and accounting; external versus internal data availability and value; simulation methods; optimization methods. Format will be 30 hours of in-person class time during orientation week.

2 units

Deliver a business analytics-centric project to an actively engaged client applying the techniques and using the tools learned in the program. Seek to provide insight and analysis beyond the obvious.

3 units

Techniques in written and oral presentation of business concepts with a focus on client interaction and significant use of data visualization techniques.

3 units

Introduction to machine learning and predictive modeling, classification, clustering and association rule mining.

3 units

The goal of this class is to introduce students to principles and tools of data visualizations, and create visualizations using appropriate tools for two different but related purposes: (1) exploration and (2) presentation. The first part is about trying to understand the data and test hypotheses that drive the data visualization effort, and formulate a story; the second part is to convey that finding to others in a convincing manner.

3 units

Techniques in acquiring data from internal and external sources including social media and text data; Hadoop/Apache distributed processing scalable for business applications; Introduction to network analysis and large scale data analytics.

3 units

This course focuses on structured and unstructured data storage and design, data acquisition and cleaning techniques, data warehousing, ETL and NoSQL databases such as MongoDB.

3 units

Introduction to the basic concepts of probability, common distributions, statistical methods and data analysis. The goal of course is to ensure that students understand basic principles of statistics and can select appropriate statistical tools and apply them correctly. Topics include descriptive statistics, sampling distributions, estimation, hypothesis testing, inferences on two populations, simple and multiple regression and logistic regression.

3 units

Linear regressions; Multiple regressions; Heteroskedastic/Serially-correlated error terms; Autoregressive models; Binary dependent variables; Panel Data; and more.

2 units

Many issues in marketing, human resources and management, accounting, and economics can be answered only by designing studies. There is an increasing use of field and natural experiments, even in the most state-of-the-art big data organizations—Google, Facebook, Amazon, etc.—and knowing how to design studies will complement the skills learned in other business analytics courses. In addition to data acquisition and data mining, you learn data creation.

2 units

Electives

The following elective possibilities are subject to change:

This course provides an overview of forensic and investigative accounting topics. It concentrates on concepts involved in understanding and differentiating the various types of forensic and investigative accounting methods. Instruction and application of basic forensic and investigative accounting techniques will be a focus of this course.

2 units

Course with a combined introduction to financial and managerial accounting.

3 units

This course introduces basic concepts in probability theory and univariate statistics, which are necessary for courses in microeconomics and econometrics. Probability topics include: probability models, random variables and joint distributions, expectations and large-sample results. Statistical topics include: descriptive statistics, point estimators, confidence intervals, hypothesis tests, maximum likelihood methods, method of moments and Bayesian methods. Calculus will be used extensively in this course.

3 units

This course gives tools that are helpful for empirical analysis. It is focused on applications and it covers the potential outcome model, the average treatment effect, the linear model, the linear model with endogeneity, machine learning, prediction and the bootstrap. Computer programming experience is helpful but not required. Applications include finance models, IO models and labor economic models and real datasets are used to estimate these models. The usefulness of random experiments and instrumental variables for causal inference is emphasized and so is the need for a parsimonious model for prediction.

3 units

Portfolio theory with applications to the markets for equities, fixed income securities and options. Risk analysis and investment strategies.

3 units

This course is designed to familiarize students with database and various statistical methods needed to undertake practitioner-type research in finance. Heavy exposure to SAS.

3 units

Introduction to algorithms suited for developing internet-based information systems such as search engines and text mining.

3 units

Introduction to the fundamentals of database analysis, design and implementation.

3 units

This course addresses topics in customer relationship management, data mining and data visualization of customer data.

3 units

This course will provide you with an overview of the issues involved in acquiring, analyzing and interpreting marketing research data.

3 units


Dual Degrees

Earned in just another semester or two, our dual degrees take you from impressive to unstoppable. Dive into the rapidly growing tech industry with a degree in Master’s in MIS. Or broaden your business perspective with a degree in business, finance, marketing, accounting or economics.

  • MSBA/Master of Business Administration (MBA)
    Earn an MBA as well as a Master of Science in Business Analytics—you’ll need to apply to both programs separately and complete a total of 73 units, taking about six semesters.

  • MSBA/Master of Science in Accounting (MSA)
    Students can pursue a career at the intersection of accounting and business analytics, using two skill sets that are increasingly in demand together, by pursuing a dual Master of Science in Accounting and in Business Analytics. This can usually be completed in three semesters, or four if prerequisites are needed.

  • MSBA/Master of Science in Finance (MSF)
    Go far in a career in finance and analytics, with mastery in all the critical areas of finance, data management, statistics and analytic methods. You’ll apply separately to each degree program and can complete the two master’s degrees together in 21 months.

  • MSBA/Master of Science in Management Information Systems (MS MIS)

  • MSBA/Master of Science in Marketing (MSM)
    Earn a dual master in Business Analytics as well as Marketing and climb to the forefront of marketing and analytics. You’ll apply separately to each degree program and complete 51 total units, which can be done in about four semesters.

Your Future is Calling

You’ve heard the “why.” If you think you’re a good fit, it’s time for the “how.” Let’s get you on the road to your Eller degree. Contact us or begin your application now:

Apply Now