Master of Science in Applied Business Analytics
With the accelerating evolution of technology and mobile applications, it is ever more critical for leaders to acquire the skills to assess the burgeoning amounts of data captured. According to a 2016 report by the McKinsey Global Institute, the volume of data doubles every three years. As data-driven business models change the face of industry, developing the ability to capitalize upon this valuable resource is compulsory. In fact, PwC predicts 2.7 million job postings for data science and analytics roles by 2020. PwC also notes that 67 percent of data analytics posts are for analytics-enabled leadership roles such as chief executive officer, chief data officer, director of IT, human resources manager, financial manager, and marketing manager.
With its unique combination of dynamic academic curriculum, the latest educational technologies, flexible delivery modes, advanced pedagogy, and professional contacts within the business analytics industry, Metropolitan College’s Master of Science in Applied Business Analytics (MSABA) provides comprehensive coverage of the state-of-the-art concepts, techniques, and tools used in the process of data-driven business decision-making. Whether studying online, on campus, or both, students gain hands-on experience with a variety of analytical models and decision-support tools, and to apply them to interlinked data-inputs and large data sets in the areas of marketing, operations, product and technology innovations, financial services, and others. The curriculum covers advanced software tools and functions such as descriptive, predictive, and prescriptive modeling; text and data mining; visual analytics; and business simulations. Graduates of the program will be able to analyze data-driven business processes, select appropriate analytical methods to monitor and identify performance issues, prescribe possible outcomes, and propose optimal data-based solutions.
Students who complete the master’s degree in Applied Business Analytics will be able to demonstrate:
- The knowledge and skills to better utilize available information in operational, tactical, and strategic decision-making in organizations.
- Experience with various powerful emerging technologies and techniques for increasing the value of both in-house and third-party data sets.
- An understanding of how organizations are using interlinked data-inputs, analytics models, and decision-support tools to better understand their operations, customers, and markets.
- Expertise in web analytics and metrics, and the ability to procure and process unstructured text, and delve into hidden patterns within data sets.
- The ability to facilitate knowledge discovery using data-mining and visualization techniques over vast amounts of data.
MS in Applied Business Analytics Program Options
Available on campus and in the following format:
Dual Degree Option
In appreciation of the converging nature of management skills and technology, the Administrative Sciences department collaborates with Metropolitan College’s departments of Actuarial Science and Computer Science. Degree candidates in either program may apply 8 credits from one degree toward a second degree in one of these disciplines, thereby reducing their work by two courses. Students must be accepted by both departments, but they may request that application materials such as references and transcripts be forwarded from the first program to the second.
The department reviews each student’s prior academic background in relation to their current professional standing to determine suitability. Candidates for admission to the degree program are selected on the basis of academic transcripts, academic and professional references, and often interviews. Degree candidates have six years to complete the program from the date of their first course.
Students accepted into the program who have already earned the Graduate Certificate in Applied Business Analytics at MET have satisfied the specialization requirements of the MSABA and need only complete the Degree Core Courses and two electives to earn the master’s degree.
Applicants who require an I-20 visa from Boston University must submit an International Student Data Form (ISDF), along with financial and other documentation as required by the International Students & Scholars Office (ISSO). Since financial aid is not available to foreign students, each international applicant will be asked to provide a financial declaration showing adequate funding for both tuition and living expenses for the duration of the program. All credentials must be submitted in English. International students must submit copies of current or recently issued visa or I-20 documentation. Boston University will not issue an I-20 without this information. Additional information may be obtained at bu.edu/isso.
International students must demonstrate an understanding of English, including the ability to read and write with proficiency. Students whose native language is not English must submit results from the following:
- The Test of English as a Foreign Language (TOEFL) Internet-Based Test (iBT), with a minimum total score of 84, and minimum scores in each section as follows: Reading—21; Listening—18; Speaking—23; and Writing—22
- The International English Language Testing System (IELTS), with a minimum total score of 6.5, and minimum scores of 6.5 in each section
For TOEFL, the institutional code for Metropolitan College graduate programs is 3087. There is no institutional code required for the IELTS.
Applicants are exempt from language testing if they:
- Completed a four-year undergraduate degree at an accredited college or university in a country where English is the standard language: Australia, The Bahamas, Bermuda, British Virgin Islands, Canada (except Province of Québec), Ireland, New Zealand, and the United Kingdom.
Students who do not meet the minimum TOEFL requirement may wish to contact Boston University’s Center for English Language & Orientation Programs (CELOP) for further information.
All application materials must be submitted in English. A copy of the original document must accompany translations of academic records and other materials. Records of university study should show courses, grades, type of degree received, and exact or approximate rank in class.
Transfer of Credits
A maximum of two graduate-level courses (8 credits), completed with a grade of B+ or better and not used toward another degree, may be transferred from an accredited university with approval from the Administrative Sciences department. The courses must have been completed no more than two years prior to matriculation. To request transfer of credits to the MSABA, students must fill out a transfer of credit form and attach all pertinent information.
Part-time students who hold a bachelor’s degree, but have not yet applied as degree candidates, may enroll in a maximum of two courses on a space-available basis. Before registering in any of our graduate courses (600 level or higher) you will need to provide the department with an undergraduate transcript confirming your degree from an accredited university. Please note that only two courses taken prior to acceptance into the MSABA program will be counted toward the degree.
No grade lower than B– may be applied toward degree, certificate, or diploma requirements. Students with less than a 3.0 cumulative GPA will be placed on academic probation. Students on academic probation must make satisfactory progress toward achieving a minimum of 3.0 by the following semester, and must be in a position to graduate with a 3.0 or better within the remaining program courses. While grades of B or B– are normally considered passing, these grades will not assist in raising an unsatisfactory GPA to a satisfactory level. Therefore, students must obtain a minimum grade of B+ during a probation period.
Students who, in the determination of the department and based on past academic performance, are not in a position to raise their GPA to the necessary level to graduate within the remaining courses will be dismissed from the program. Students who have not removed themselves from academic probation after one semester for full-time status (three semesters for part-time status) will be dismissed from the program.
As a prerequisite to the course MET AD 571 Business Analytics Foundations, students are required to complete the AD 100 Pre-Analytics Laboratory (online). Some courses may have additional prerequisites. Please note that MET AD 571 is a prerequisite for all four specialization courses and should be taken early in the degree.
International students studying on campus are required to demonstrate proficiency in written and oral English skills, and must complete the following course unless waived by the department:
MET AD 501 Business Communication for International Students
Techniques for effective written and verbal communications. This course is a special offering for students for whom English is a second language. Prerequisite course: credits can not be used toward the MSAS degree. [ 4 cr. ]
|A1||IND||Mendlinger||CAS 201||M||6:00 pm – 8:45 pm|
Prerequisites cannot be applied toward degree requirements. Students are expected to satisfy the program prerequisites in their first semester.
A total of 40 credits is required.
All students must satisfy the degree core courses, specialization courses, and electives as indicated. Waived courses from must be replaced by an elective course in order to meet the 40-credit-hour requirement.
Degree Core Courses
(Four courses/16 credits)
MET AD 571 Business Analytics Foundations
Prereq: AD100 Pre-Analytics Laboratory
This course presents fundamental knowledge and skills for applying business analytics to managerial decision-making in corporate environments. Topics include descriptive analytics (techniques for categorizing, characterizing, consolidation, and classifying data for conversion into useful information for the purposes of understanding and analyzing business performance), predictive analytics (techniques for detection of hidden patterns in large quantities of data to segment and group data into coherent sets in order to predict behavior and trends), prescriptive analytics (techniques for identification of best alternatives for maximizing or minimizing business objectives). Students will learn how to use data effectively to drive rapid, precise, and profitable analytics-based decisions. The framework of using interlinked data-inputs, analytics models, and decision-support tools will be applied within a proprietary business analytics shell and demonstrated with examples from different functional areas of the enterprise. [ 4 cr. ]
|A1||IND||Ritt||MET B02B||M||6:00 pm – 8:45 pm|
|A2||IND||Ritt||CGS 515||M||2:30 pm – 5:45 pm|
MET AD 605 Operations Management: Business Process Fundamentals
This course helps students to develop an understanding of the impact of business processes on the organization's performance and provides students the key tools to analyze and improve processes in both manufacturing and service sectors. [ 4 cr. ]
|A1||IND||Maleyeff||CAS 214||M||2:30 pm – 5:15 pm|
|C1||IND||Maleyeff||CAS 237||W||6:00 pm – 8:45 pm|
|D1||IND||Cashton||EPC 204||R||6:00 pm – 8:45 pm|
MET AD 632 Financial Concepts
Introduction to the concepts, methods and problems of accounting and financial analysis. Includes accounting principles, measurement and disclosure issues, financial statement analysis, time value of money, cash flow projection and analysis, capital budgeting and project evaluation, bond and equity valuation, cost of capital and capital structure. 4 cr. [ 4 cr. ]
|B1||IND||Mendlinger||KCB 104||T||6:00 pm – 8:45 pm|
|C1||IND||Mcgue||HAR 404||W||6:00 pm – 8:45 pm|
|D1||IND||Mcgue||KCB 107||R||6:00 pm – 8:45 pm|
MET AD 715 Quantitative and Qualitative Decision-Making
Explores decision making and policy formulation in organizations. Includes goal setting and the planning process, rational models of decision making, evaluation of alternatives, prediction of outcomes, cost-benefit analysis, decision trees, uncertainty and risk assessment, and procedures for evaluation of outcomes. [ 4 cr. ]
|B1||IND||Maltzman||EPC 209||T||6:00 pm – 8:45 pm|
|B2||IND||Zlatev||PHO 211||T||12:30 pm – 3:15 pm|
|D1||IND||Maltzman||CAS 213||R||6:00 pm – 8:45 pm|
|BNR||IND||Cleary||ROOM||S||8:30 am – 4:00 pm|
(Four courses/16 credits)
MET AD 616 Enterprise Risk Analytics
The course offers an overview of the key current and emerging enterprise risk analytical approaches used by corporations and governmental institutions and is focused on understanding and implementing the enterprise risk management framework on how to leverage the opportunities around a firm to increase firm value. The major risk categories of the enterprise risk management such as financial risk, strategic risk and operational risk will be discussed and risk analytics approaches for each of these risks will be covered. Students will learn how to use interlinked data-inputs, analytics models, business statistics, optimization techniques, simulation, and decision-support tools. An integrated enterprise risk analytics approach will be demonstrated with examples from different functional areas of the enterprise. [ 4 cr. ]
|B1||IND||Ritt||CAS 326||T||6:00 pm – 8:45 pm|
|D1||IND||Arslan||EPC 209||R||6:00 pm – 8:45 pm|
|D2||IND||Ritt||MET B02B||R||12:30 pm – 3:15 pm|
MET AD 654 Marketing Analytics
Become familiar with the foundations of modern marketing analytics and develop your ability to select, apply, and interpret readily available data on customer purchase behavior, new customer acquisition, current customer retention, and marketing mix optimization. This course explores approaches and techniques to support the managerial decision-making process and skills in using state-of-the-art statistical and analytics tools. Students will have an opportunity to gain basic understanding of how transaction and descriptive data are used to construct customer segmentation schemas, build and calibrate predictive models, and quantify the incremental impact of specific marketing actions. [ 4 cr. ]
|A1||IND||Chan||HAR 322||M||2:30 pm – 5:15 pm|
|C1||IND||Shapiro||CAS 233||W||6:00 pm – 8:45 pm|
|C2||IND||Grosz||CAS 326||W||6:00 pm – 8:45 pm|
MET AD 688 Web Analytics for Business
Explore web analytics, text mining, web mining, and practical application domains. The web analytics part of the course studies the metrics of websites, their content, user behavior, and reporting. The Google analytics tool is used for collection of website data and doing the analysis. The text mining module covers the analysis of text including content extraction, string matching, clustering, classification, and recommendation systems. The web mining module presents how web crawlers process and index the content of web sites, how search works, and how results are ranked. Application areas mining the social web and game metrics will be extensively investigated. [ 4 cr. ]
|A1||IND||Doddavaram||PSY B51||M||6:00 pm – 8:45 pm|
|A2||IND||Kossuth||CAS 326||M||6:00 pm – 8:45 pm|
|B1||IND||Boltz||CGS 527||T||6:00 pm – 8:45 pm|
MET AD 699 Data Mining for Business Analytics
Enterprises, organizations and individuals are creating, collecting, and using massive amount of structured and unstructured data with the goal to convert the information into knowledge, to improve the quality and the efficiency of their decision-making process, and to better position themselves to the highly competitive marketplace. Data mining is the process of finding, extracting, visualizing and reporting useful information and insights from both small and large datasets with the help of sophisticated data analysis methods. It is part of the business analytics, which refers to the process of leveraging different forms of analytical techniques to achieve desired business outcomes through requiring business relevancy, actionable insight, performance management, and value management. The students in this course will study the fundamental principles and techniques of data mining. They will learn how to apply advanced models and software applications for data mining. Finally, students will learn how to examine the overall business process of an organization or a project with the goal to understand (i) the business context where hidden internal and external value is to be identified and captured, and (ii) exactly what the selected data mining method does. [ 4 cr. ]
|B1||IND||Page||HAR 322||T||6:00 pm – 8:45 pm|
|B2||IND||Page||KCB 107||T||12:30 pm – 3:15 pm|
|D1||IND||Page||CAS B20||R||6:00 pm – 8:45 pm|
(Two courses/8 credits)
Choose two additional Metropolitan College graduate courses, with the approval of an advisor, to enhance your individual management interests or to work toward a certificate.
View all Administrative Sciences graduate courses.