MS in Business Analytics

Master of Science in Business Analytics


The Master of Science in Business Analytics is a one-year full-time program that provides students with data analytics knowledge and skills to become data-savvy managers. Students learn about all areas related to business analytics and big data analysis including data management, modeling, programming, analysis, visualization, data-mining, machine learning, and integration strategies to analyze large, structured and unstructured datasets for making effective business decisions.

Classes are held at the LMU Playa Vista Campus in the heart of Silicon Beach, providing students great opportunities to engage with the local business community.

  • Program Overview

    Designed for college graduates, this high-quality, hands-on, comprehensive interdisciplinary Master of Science in Business Analytics program provides individuals with the knowledge, tools, and skills to analyze data to make effective business decisions. In addition, the program empowers students with soft skills needed to manage business analytics projects including problem-framing, teamwork, project management and communication. Courses are held in a face-to-face format in small cohorts of approximately 25 students. Classes meet primarily at the LMU Playa Vista Campus. 

    The Master of Science in Business Analytics requires 30 - 36 credit hours across three semesters, starting in the fall semester and ending with the capstone project in the summer. The curriculum consists of eight required courses, two electives, a capstone project and two capstone preparatory mini-courses. Students with approval from the program director may waive up to six credit hours depending on previous business related course work at the undergraduate level, thus requiring a minimum of 30 credit hours.

    The capstone project is an experiential learning assignment built around student teams providing business analytics solutions to real businesses under the guidance of on-site corporate managers and faculty members. The project may cover a wide range of industries in the Los Angeles area, with a focus on the Silicon Beach community, including retail, technology, manufacturing, banking, healthcare, nonprofit and hospitality.

    Electives are designed to support three specialty tracks - Marketing Analytics, Healthcare Analytics and Data Analytics. The Data Analytics track helps students develop more expertise in general mathematical and analytical tools and to identify a capstone project in other industries, such as nonprofit, accounting or operations.

    LMU’s Master of Science in Business Analytics is a STEM (science, technology, engineering and math) designated degree program.

  • Admission / Application Requirements

    Requirements for the Masters of Science in Business Analytics and a completed application for the program consists of the following, submitted online or mailed directly to LMU Graduate Admissions, 1 LMU Drive, Suite 1840 Los Angeles, CA 90045:

    • Application (Apply online here. Note: You will be redirected to Grad Division to start the online application process.)
    • Completion of a bachelor's degree from an accredited U.S. institution or the equivalent of a U.S. bachelor's degree from a foreign institution.
      • Undergraduate grade point average over 3.0.
      • Completion of a college statistics course in last four years with a grade of B or better.
      • $50 non-refundable application fee.
      • Official GMAT or GRE score. Submit your highest GMAT score for consideration.
        • GMAT scores are sent to colleges/institutions within 20 days of your test date.
        • Have ETS send your GMAT score to LMU, GMAT Institution Code: MS XXN25.
        • You may take the GRE in place of the GMAT. Send GRE score directly to LMU, GRE code is 4403.
        • Note: LMU may consider GMAT scores that are below average if other application submissions indicate a strong performance profile.
      • International applicants who attended high school in a foreign country where English was not the primary language must submit a TOEFL score or IELTS score. Exceptions to this rule may be made for students from countries where English is one of several official languages, as well as at the discretion of the program director. Have ETS send your scores to LMU, Institution Code 4403. You must score:
        • 80 or above on TOEFL (iBT only)
        • The minimum IELTS score is 6.0

      Note: Additional assessment of international students oral and written English proficiency (e.g., Skype Interviews) may be administered.

      • Two official sealed copies of all transcripts supplied by all schools you attended. This includes any coursework done at community colleges, junior colleges, extension programs, post-secondary schools and other institutions.

        Note: International applicants who have completed their postsecondary education from an institution outside the U.S. must hold a degree from a university recognized by the Ministry of Education as a degree granting institution. Transcripts from an international institution must be translated and evaluated by a U.S. transcript evaluation service (e.g. Global Services Associates, Educational Credential Evaluators, International Education Research Foundation or World Education Services). The purpose of the evaluation is to verify that your postsecondary degree is the equivalent of a U.S. Bachelor’s degree.

      • Personal statement (1-2 pages)

      • Two academic and/or professional letters of recommendation.
        • Letters must not be more than a year old since the date they were issued.
        • This requirement is waived for LMU graduates with minimum GPA of 3.5.
      • Resume

        Additional information for international graduate students can be found here.

        Fall 2019 application deadlines:

        • Round 1 - March 18, 2019
        • Round 2 - April 1, 2019
        • Round 3 - June 3, 2019
      • Curriculum

        Students in the program will complete the following courses for the MS in Business Analytics program:

        Fundamentals of Business (Accounting, Finance & Operations)

        The fundamental principles of financial reporting, managerial accounting, financial planning, and operations and supply chain management are studied. This course provides a business perspective that focuses on cross-functional decision-making. Students will learn the role of each function in organizations as well as how information flows between different business functions. Students will use Excel to create balanced scorecards that provide a comprehensive view of a business by focusing on the operational and developmental performance of the organization as well as its financial measures.


        Marketing Management

        This course emphasizes the role of marketing and marketing management in society. Basic controllable variables essential to marketing success will be examined including market analysis, product development, pricing, distribution, and promotion. We will explore how marketing facilitates business strategy, discovers and creates demand for products/services, and influences product development.


        Programming for Data Management

        The goal of this course is to introduce learners to the basics of programming (variables and types, operators, looping and branching, etc.) in either Python or R and to provide a working knowledge of how to use programs to deal with data. The first part of the course will cover the basics of programming and then focus on using the programming environment for managing and retrieving data of all types (structured, semi structured or unstructured). In the second part of the course, students will be introduced to data management architecture such as relational databases and data warehouses, as well as use of SQL within R/Python for interacting with such data architectures.


        Data, Models and Decisions

        The course introduces students to the process of understanding, displaying, visualizing and transforming data into insight in order to help managerial decision makers make better, more informed, data-driven decisions. The course provides a basic introduction to descriptive analytics, including visualization, predictive analytics, and preliminary exposure to some aspects of prescriptive analytics. The approach taken by the course is very practical and applied: hands-on learning is the central focus of the course. For each topic, a case/problem analysis will require the use of Excel and other specialized analytics and decision-making software.


        Customer Relationship Management Analytics

        Customer relationship management (CRM) is an emerging business strategy paradigm that focuses on the systematic development of ongoing, collaborative customer relationships as a key source of sustainable competitive advantage. CRM represents a fundamental change in approach from traditional marketing; the goals shift from market share to share of customer. Operating under the assumption that competitive advantage is often gained through building customer equity, this course introduces the theory and practical implementation of customer relationship management strategies using marketing databases.


        Business Intelligence Tools and Systems

        Current management practices place an increasing dependence on the use of information to manage a business – business intelligence systems and analytics tools play a critical role in this regard. To help managerial decision makers do their job effectively, it is necessary to understand the decision making process, the nature of data/information used in the decision making process and the role of information technology (in particular, business intelligence technologies) in that process. This course focuses on the general environment of business intelligence in an organization and explores how various business analytics tools including data cleaning and wrangling, data mining and data warehousing allow organizations to turn data into intelligence. In addition, visual analytics using Tableau and MS-Excel are explored.


        Introduction to Big Data and Machine Learning

        Students will be introduced to the fundamental concepts of business data, how they are organized, how they are designed and implemented. With that foundation, this course will be dedicated to expose learners to the cutting edge and emerging world of Big Data. This course will provide insights into the modern day challenges of making insightful decisions by tapping into high volume, high speed, and unstructured data that is generated through sensors, weblogs, social media and other interactive platforms. Students will be further introduced to the basic concepts of machine learning using Microsoft Azure Machine Learning Studio as well as visualization for big data.


        Strategic Analytics Integration

        This course deals with concepts, tools, methods, and applications of modeling and decision-making in business. This course is aimed at providing students, as future managers and/or data scientists, with the set of tools and skills needed to make intelligent and critical use of data. The course is also aimed at providing the background needed to begin employment in a data analytics position in a company, consulting firm, or research supplier.


        Capstone Project I

        Students will practice team-oriented problem-solving skills in the context of undertaking and completing a live business analytics project. They will demonstrate their knowledge and understanding of business concepts and analytics techniques in identifying and structuring a problem, collecting and managing data and applying analytic modeling techniques to provide insights and recommendations for the project. The course will enable students to acquire and demonstrate their understanding, use, and proficiency in project management skills related to tackling business analytics projects as they work with a real client.


        Capstone Project II

        Students will continue to acquire and demonstrate their understanding, use, and proficiency in project management skills as they work on the live business analytics project started in Capstone Project I. Students will practice their written and oral communication skills as well as their ability to generate insights through data visualization techniques in the write-up and presentation of their projects.

      • Outcomes

        Upon successful completion of the MS in Business Analytics program, graduates will be highly sought after in the field of business analytics because they have the business foundation necessary to apply business analytic concepts in organizational settings.

        The knowledge and skills graduates will learn by the end of the program include:

        • Creating and managing analytics ready data that includes collecting data from primary and secondary sources combined with the ability to consolidate and cleanse data coming from multiple sources in multiple formats.

        • Designing and implementing various data architectures for effective storage, management and analysis of data

        • Analyzing data using statistical and programming skills including the ability to use programming languages and software packages to perform statistical analysis as well as the ability to apply data-mining techniques to support decision-making for business problems.

        • Selecting and applying appropriate data modeling tools to provide insight for the analysis of business situations along with the ability to identify appropriate analytic models and tools to analyze and solve a complex business problem and create insights into a business problem using various data visualization techniques.

        • Explaining information clearly and insights gained from analytic models in a business context in addition to effectively expressing knowledge and ideas through oral and written communication.
      • Tuition and Fees

        Tuition and Fees

        LMU provides an excellent value for a quality Master of Science in Business Analytics program. The total cost of the program is calculated as $1,450 per unit ($43,500 - $52,200) which includes:

        • Tuition and fees for all courses
        • Dedicated career services

        *The university reserves the right to change any fees upon reasonable notice.

        Click here‌‌ for the Student Accounts Department.

        Financial Aid

        All need-based financial aid and most other aid awards are determined in whole or in part by the information submitted in a Free Application for Federal Student Aid or FAFSA. You can submit your FAFSA and apply for financial aid prior to applying for admission to LMU. The Financial Aid Office recommends applying for aid as soon as possible.

        To learn more about completing your FAFSA and financial aid eligibility at LMU, please review:

        Limited scholarship opportunities are offered to LMU students based on leadership, merit and/or need.


        Grants are made available by LMU, the State of California and the Federal Government to help fund your LMU education. The Financial Aid Office considers your eligibility for these based on the information submitted on your FAFSA.

        Visit LMU's Financial Aid Office for financial aid application instructions and other important information.

      • Contact Us

        Still have questions? Need help? Please contact us at:

        LMU Graduate Business Programs
        1 LMU Drive, MS 8386
        Los Angeles, CA 90045-2659
        Phone: 877.568.8585

        Joe O'Hannigan, MBA
        Associate Dean, Graduate Business Programs

        Sijun Wang, Ph.D.
        Program Director, MS in Business Analytics
        Professor of Marketing, College of Business Administration



      Click here to view a listing of the distinguished College of Business Administration faculty teaching in the Master of Science in Business Analytics program.

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