Student working alone on laptop


Learn the technical and critical thinking skills you need to analyze data, lead projects, and make impactful decisions that can influence the future of technology-driven businesses.

Get ready to learn the critical thinking skills necessary to apply real-world applications of data analysis in product and service development, operations, marketing, and sales. Throughout the Business Analytics for Managers MasterTrack® Certificate, you'll experience interactive classes and hands-on projects that will teach you the right tools for collecting, analyzing, and interpreting data to understand business performance, impact, and trends.

This online certificate program, featuring six hours of study per week over the course of six months, will provide you with the knowledge and practical leadership skills you need to make intuitive, data-driven business decisions, and spark innovative ideas that can make a difference in the world. With a focus on real-world applications and case studies, courses are designed by Tufts University faculty members and feature industry-expert guest speakers to bring the content to life. No application is required and you can register as late as the first day of classes.

In addition to applicable skills and a resume-enhancing completed credential, this certificate can be leveraged for graduate credit when you enroll in the Tufts Gordon Institute’s MS in Engineering Management program.

Full-time Tufts University employees may be eligible to take advantage of tuition reimbursement for the Business Analytics for Managers MasterTrack® Certificate. Visit Access Tufts to learn more about eligibility and the reimbursement process.

Interactive Virtual Courses include:

  • In this course, you’ll learn the fundamental business analytics techniques that will prepare you for solving more complex problems later on in the program. Through the use of Excel, Minitab (free trial version), and Python, you will cover a diverse range of topics, including normal distribution, hypothesis testing, analysis of variance, correlation, covariance, and linear regression. Through weekly exercises, you will gain hands-on experience with each technique and see the math illustrated using simple examples and small data sets.

    What you will learn:

    • Summarization measures and normal distribution
    • Hypothesis testing
    • Covariance and correlation
    • Linear regression


    Project #1: One-Factor Experiment (6-8 hours total)

    This project focuses on designing and implementing a One-Factor Experiment / Analysis of Variance that you learn in Course 1.

    What you will learn: How to improve a process at or outside your company.

  • In this course, you’ll learn about the popular analytics techniques that will help you apply business data to real-world situations and make appropriate managerial decisions. You will be using Excel, Minitab (free trial version), and Python to demonstrate what you’ve learned in predictive analytics through a project with real or simulated data.

    What you will learn:

    • Linear programming
    • Network optimization
    • kNN classification
    • kMeans clustering
    • Logistic regression
    • Time series analysis
    • Bayes Rule
    • Naïve Bayes classification


    Project #2: Business Analytics Application (6-8 hours total)

    This project requires application of one of the analytics techniques that you learn in Course 2 (Linear Programming, kNN Classification, kMeans Clustering, Logistic Regression, Time Series Analysis, Naïve Bayes Classification).

    What you will learn: How to solve a business problem of your choice using analytics.

  • In this course, you’ll build upon the foundational quantitative skills you learned in courses 1 and 2 as you gain a deeper understanding of how a product or service is developed, produced, and delivered and how the use of data analytics makes that happen. We’ll look at the new product process function by function using an Internet of Things security product.

    What you will learn:

    • How products go from concept to production
    • The application of data analytics at all steps of this process
    • The challenges that product, engineering and production managers face 


    Project #3: Process Improvement Plan (6-8 hours total)

    The project focuses on developing a process improvement plan for a product that is in the market and for which the company is receiving customer and performance feedback.

    What you will learn: How to use data to identify areas for quality improvement through process and product changes.

  • In this course, you’ll learn how to increase sales via more sophisticated and targeted marketing. Discover how to earn customer loyalty, speak directly to segments of your customer base, and drive increased sales and customer impacts using data analytics. A discussion of marketing principles, financial returns on marketing, customer discovery, segmentation, and campaign and channel development will inform an assignment focused on building a sales forecast and making decisions about pricing, volume, and offerings.

    What you will learn:

    • Marketing research methods
    • Monitoring effectiveness of marketing campaigns for business to business and business to consumer products
    • Sales management and analytics
    • Digital marketing


    Project #4: Develop Marketing & Sales Tools (6-8 hours total)

    Based on the company’s sales and marketing results, you will develop a set of tools to allow the sales and marketing teams to increase both consumer and business funnel and sales.

    What you will learn: How to use statistical techniques to qualify sales leads and web visitors to help the company focus on increasing sales conversions through all channels.

  • Congratulations on getting your product to market and its initial success.  Now, how do we keep investing in improving the product, marketing it more effectively, and make enough profit to do so? You’ll develop the financial knowledge to create a profit and loss or contribution statement for the business and then determine the returns of various forms of investment applying the quantitative skills you developed in the course.

    You will also learn about how analytical tools are used in sales forecasting and about the process of developing and marketing products for historically underserved or marginalized communities across the Digital Divide. We’ll wrap up the MasterTrack by using what we’ve all learned together to build an operating plan for the coming year.

    What you will learn:

    • Finance for business managers
    • What is the return I would expect from investing in product and process improvement?
    • How can my product contribute to a more diverse, inclusive and equitable society?
    • Building a product line operating plan


    Project #5: Building an Operating Plan (6-8 hours total)

    This project will allow you to apply your new knowledge of business functions and analytics to develop an operating plan, including sales forecasts, profit margins, marketing ROI, process and product improvements, and projected financial results.

    What you will learn: How to develop an operating plan to address the business challenges we have discussed in Course #5 using data analytics.

I think the program will open me up to a range of professional opportunities I didn't know would be 'right' for me. I 'm looking forward to continuing to learn.

Coursera Student

Cohorts and Class Schedules

  • Each course will run for four weeks over the following dates:

    1. Analytics Techniques for Business Insight: January 23, 2023 - February 19, 2023
    2. Expanding Your Business Analytics Skills: February 27, 2023 - March 26, 2023
    3. Data Analytics in Product Development and Production: April 3, 2023 - April 30, 2023
    4. Marketing and Sales Data Decision-Making: May 8, 2023 - June 4, 2023
    5. Data Analytics Applications: Finance and Economics: June 12, 2023 - July 9, 2023
  • Each course will run for four weeks over the following dates:

    1. Analytics Techniques for Business Insight: March 27, 2023 - April 23, 2023
    2. Expanding Your Business Analytics Skills: May 1, 2023 - May 28, 2023
    3. Data Analytics in Product Development and Production: June 5, 2023 - July 2, 2023
    4. Marketing and Sales Data Decision-Making: July 10, 2023 - August 6, 2023
    5. Data Analytics Applications: Finance and Economics: August 14, 2023 - September 10, 2023

Recommended Student Background

We recommend students have an undergraduate degree and 2+ years of work experience, however, these are not required. To ensure your success in the program, a minimum of a high school diploma, strong internet connection, and basic knowledge of Excel is preferred. We also encourage students to think creatively and have a passion for data-driven decision-making!

MasterTrack Certificate Tuition

Your payment for the MasterTrack Certificate can be submitted in two ways:

  • Four equal payments of $750 ($3,000)
  • One full payment of $2,850 (a 5% discount from the $3,000)

At this time, we do not offer scholarships or other financial aid for this program.

Not ready to begin the MasterTrack Certificate?

Tufts Gordon Institute has also partnered with Coursera to offer a short online course on Hypothesis Testing with Python and Excel. In today's job market, leaders need to understand the fundamentals of data to be competitive. An essential procedure to understand business and analytics is hypothesis testing.

This five-hour course, designed by Tufts University expert faculty, will teach the fundamentals of hypothesis testing of a population mean and a population proportion, using Excel and Python for calculations. You'll also discover the central limit theorem, which is essential for hypothesis testing. To conclude the course, you will apply your newfound skills by creating a plan for an experiment in your own workplace that uses hypothesis testing.

5 Ways to Advance your Career as a Data-Driven Business Leader

With careers in data and analytics on the rise, uncover how professionals can stand out in today’s competitive landscape.

Read More

Coursera Platform Restrictions: Due to restrictions placed by the Office of Foreign Assets Control (“OFAC”) of the US Department of the Treasury, Coursera is not able to provide service to learners accessing their platform from Crimea, Cuba, Iran, North Korea, Sudan, and Syria. Unfortunately, there is no workaround or solution to this until the law changes. We sincerely regret the need to impose any restriction on access to Coursera.