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MBA in Business Analytics

Embrace the power of big data. Just as harnessing data can create unlimited opportunities for today’s businesses, an MBA concentration in Business Analytics can open up a world of possibilities for your career. Knowing how to spot meaningful information in a sea of data—and build sound strategies based on the insights gained—is one of the most sought-after skills in modern business.

Be what every company is looking for. Be more.

Our Business Analytics concentration prepares you to manage people and organizations with a foundational understanding of how data can be used to drive both to greater heights. Through your core courses you’ll have the opportunity to learn the fundamentals of all the major business functions—and in this concentration you will also dive into how each can benefit from tools like advanced data mining techniques, visual dashboards, artificial intelligence, and machine learning.

What’s most important is that you’ll learn to use information to make better decisions no matter what industry or job function you’re headed for. This program can give you the skills that elevate you above your peers, especially if you’re looking to build your career in a field being transformed by technology. (And really, what field isn’t? Everything from investing to product development is being revolutionized by data.)

If you already have a solid understanding of how analytics can be used, or have a strong quantitative background, this program can build on your existing foundation of knowledge and give you an even more sophisticated toolkit for decision-making. If you’re new to analytics but have a keen interest in how data-based insights can grow a business, this program can increase your quantitative aptitude and give you a solid grounding in the basics of interpretation.

This concentration makes an excellent secondary focus paired with any of our other concentrations (finance, healthcare management, marketing, for example). Think of it as a practical toolkit to complement the theoretical learning that drives those business areas.

Finally, you’ll get a chance to test-drive that practical toolkit in an exciting arena: a paid corporate residency with a company whose mission matches your career interests. You’ll help a real corporate team make better decisions based on data, building confidence and experience in the process. It’s a one-of-a-kind experience that distinguishes D’Amore-McKim from other schools—and will distinguish you from other business graduates.


Program Details

To earn a Business Analytics MBA, students must complete the 16 credits of MBA core curriculum, corporate residency, and 12 credit hours from the analytics coursework listed below. You will also complete 12 credits from a second concentration of your choosing, and 15 elective credits of which 3 must be experiential in nature and 6 will be from courses offered at other schools and colleges at Northeastern to ensure that you graduate prepared to meet the interdisciplinary needs of businesses today.

The curriculum is subject to change by D’Amore-McKim faculty. Please monitor for updates.

Required Business Analytics MBA Course Details

Business Analytics

Provides an overview of data collection, organization, analysis, interpretation, and presentation techniques used by contemporary organizations. Students use multiple software tools to collect, prepare, manage, analyze, evaluate, understand, critique, visualize, and present data sets of various types. Offers students an opportunity to obtain essential skills, tools, and techniques required to understand data sets, both large and small, from sources internal and external to an organization. This understanding can then be used to support datacentric decision making and create a measurable improvement in business performance. Businesses run on data, and employees at all levels must know how to properly use and interpret data to support their roles within a company.

3 credits

Details

Select 9 credits from the following:

Elective Business Analytics MBA Courses Details

Applied Econometrics

Offers an intensive study of econometric techniques applied to cross-section, time-series, and panel data. Applies the fundamentals of econometrics to analyzing structural economic models, forecasting, and policy analysis. Computer applications and an empirical research project are an integral part of the course.

4 credits

Details

Business Analytics Methods

Introduces key analytics methods for using data through the perspectives of applied statistics and operations analysis. Covers application of these methods to business areas including marketing, supply chain management, and finance. Topics include business-analytic thinking; application of business analytics solutions to business problems; data mining, supervised and unsupervised machine learning; methods for detecting co-occurrences and associations; and achieving and sustaining competitive advantage by using business analytics methods.

3 credits

Details

Business Information Design, Quality, & Strategy

Covers the leading data practices from early adopters, focusing on innovative information design, data quality, data sharing, and data integration perspectives and methods for managing data and business analytics. Explores how data analytics and management can be strategically implemented to transform a company. Discusses theories and contemporary industry practice, and real-world data and cases are used for discussion and projects. Offers students an opportunity to prepare for problem identification and solution perspectives of data-related projects, gearing up for MISM 6214.

3 credits

Details

Data Management Systems

Introduces relational database management systems as a class of software systems. Prepares students to be sophisticated users of database management systems. Covers design theory, query language, and performance/tuning issues. Topics include relational algebra, SQL, stored procedures, user-defined functions, cursors, embedded SQL programs, client-server interfaces, entity-relationship diagrams, normalization, B-trees, concurrency, transactions, database security, constraints, object-relational DBMSs, and specialized engines such as spatial, text, XML conversion, and time series. Includes exercises using a commercial relational or object-relational database management system.

4 credits

Details

Data Mining & Machine Learning for Business

Examines data mining perspectives and methods in a business context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students use contemporary data mining software applications and practice basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

3 credits

Details

Driving Marketing Performance: Measure, Analyze, Profit

Introduces how to measure, analyze, and evaluate the profit impact of marketing actions (MAP) by bringing together marketing, strategy, and finance. Your organization is going to spend millions on a new marketing or strategic initiative, but how will you know if it is working? Marketing performance measurement and feedback systems enable managers to take smarter risks by assessing experimental projects and forecasting the profit potential of bigger, bolder initiatives. Offers students an opportunity to explore systems that summarize marketing productivity and suggest steps for performance improvement in marketing strategy and tactics.

3 credits

Details

Foundations of Artificial Intelligence

Introduces the fundamental problems, theories, and algorithms of the artificial intelligence field. Topics include heuristic search and game trees, knowledge representation using predicate calculus, automated deduction and its applications, problem solving and planning, and introduction to machine learning. Required course work includes the creation of working programs that solve problems, reason logically, and/or improve their own performance using techniques presented in the course. Requires experience in Java programming.

4 credits

Details

Information Design and Visual Analytics

Introduces the systematic use of visualization techniques for supporting the discovery of new information as well as the effective presentation of known facts. Based on principles from art, graphic design, perceptual psychology, and rhetoric, offers students an opportunity to learn how to successfully choose appropriate visual languages for representing various kinds of data to support insights relevant to the user’s goals. Covers visual data mining techniques and algorithms for supporting the knowledge-discovery process; principles of visual perception and color theory for revealing patterns in data, semiotics, and the epistemology of visual representation; narrative strategies for communicating and presenting information and evidence; and the critical evaluation and critique of data visualizations. Requires proficiency in R.

4 credits

Details

Information Visuals & Dashboards for Business

Introduces design principles for creating meaningful displays of information to support effective business decision making. Studies how to collect and process data; create interactive visualizations; and use them to demonstrate or provide insight into a problem, situation, or phenomenon. Introduces methods to critique visualizations along with ways to identify design principles that make good visualizations effective. Discusses the challenges of making data understandable across a wide range of audiences. Provides an overview of data visualization, key design principles and techniques for visualizing data, and the fundamentals of communication that are required for effective data presentation. Other topics may include ethical uses of information displays, storytelling, infographics, immersive visualizations, and information dashboard design. Offers students an opportunity to use one or more software tools.

3 credits

Details

New Media & Digital Marketing Analytics

Examines how marketers are collecting and using big data and marketing analytics tools on new media and devices to create successful digital marketing strategies. Explores how marketers can benefit from consumer-generated content on social media devices, such as location-based marketing via mobile devices, to reach consumers 24/7. Introduces digital marketing analytics tools and techniques commonly used to conduct market research and analysis. Offers students an opportunity to better understand the impact of devices, such as “wearables,” and recent phenomenon, such as the Internet of Things, on marketing strategies. Investigates privacy and ethical concerns that arise from the collection, analysis, and use of consumer data. Incorporates cases, discussions, readings, lectures, real-life examples, and student research projects and reports.

3 credits

Details

Supply Chain Analytics

Designed to develop strategic decision-making skills using the latest analytics capabilities and enabler. Examines the state of the art in analytics capabilities and how these drive supply chains, from marketing to sourcing. Also examines how organizations use analytics to meet their strategic objectives, provide value to the business, and make decisions. Focuses on industry best practices, including studying some of the leading companies.

3 credits

Details

Workforce Analytics

Introduces how to measure and manage a workforce strategically, including (1) identifying the strategic work that is truly necessary to execute firm strategy; (2) investing in differentiated management systems that support that work; and (3) designing and implementing targeted measurement systems, such as human resources function and workforce scorecards, designed to help to hold line managers accountable for strategic talent. Emphasizes helping students move from a focus on levels associated with a particular workforce attribute (e.g., what is our cost per hire?) to understanding the impact of the workforce on business-level outcomes (e.g., how might an increase in the quality of our project managers affect new product cycle time?).

3 credits

Details


Is the MBA in Business Analytics Right for You?

If you see yourself emerging as a truly different person, the answer is yes. If you imagine a future where you can have a meaningful, relevant impact on the world of business, the answer is yes. If you’re ready to join people who think like you, now is the time to accelerate your career with our Full-Time MBA program.

Request More Information Today!