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BE COMPETITIVE
with a Graduate Certificate in Data Science

Powerful Credentials for Future Data Scientists and Business Analysts

Our industry-leading curriculum for the online graduate certificate in data science or business analytics is designed to accelerate skill and credential acquisition. This certificate propels you into a high-impact, high-paying position in one of the fastest-growing career fields in America.

Whether you’re an aspiring Data Scientist looking to dive into the deep end of the unstructured data pool or a budding business analyst looking to leverage big data to make intelligent business decisions, Merrimack College has the certificate for you. The online graduate certificate in data science is packed with cutting-edge courses, including Data Visualization, Machine Learning and Predictive Modeling.

Choose Your Path to Success & Get a Jump on Your Advanced Degree

Certificates are offered through a unique collaboration between the School of Science & Engineering and the Girard School of Business. The online graduate certificates in Data Science, Foundations, and Business Analytics will position you to develop and deliver game-changing, career-elevating insights and strategies in as few as 24 weeks.

Learn practical applications from leading practitioners who teach from a curriculum created in cooperation with the industry’s top employers. You’ll even earn credits towards your Master of Science in Data Science or Business Analytics program.

$5,000 Scholarship Available for Qualified Candidates

Qualified candidates will receive $1,250 off the each of the three courses in their Graduate Certificate in Data Science or Business Analytics. Candidates will also receive an additional $1,250 off their first course if they choose to enroll in the full degree for a total savings of $5,000.

LEARN MORE – EARN MORE

Data Science and Business Analytics job growth is robust and data-driven professionals with advanced skill-sets and credentials are in high demand. Potential career paths and earnings, include:

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Data Scientist
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Sr Business Analyst
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Research Scientist

Average Annual Salary Source: PayScale.com, Obtained May 2017

Choose Your Path to Success

All three courses in each certificate program are offered fully online and offers multiple start dates. For beginner students, we recommend the Data Science and Business Analytics Foundations course. For advanced professionals, these students can request to begin with the graduate certificate in Data Science or a Business Analytics. Courses can be applied to a master’s degree if they wish to pursue a Master’s Degree in Data Science or a Master’s Degree in Business Analytics.

Data Science and Business Analytics Foundations Certificate

Foundations of Data Management course provides students exposure to fundamental data management skills used in modern information systems that support various operational and functional areas within a business organization. Topics covered in the course has an emphasis on how data is fundamentally identified, organized, described and managed as the most valued asset within an organization. Course emphasis is also on applied learning of concepts and skills for relational data modeling and querying. This course will help prospective Data Science and Analytic business professionals to develop and apply data management skills that will be essential to the success in subsequent coursework.

This course provides students with a foundation in statistical basic statistical analysis, focusing primarily on descriptive univariate statistics. Topics addressed in this course include variables and their properties, measurement scales,  descriptive analyses of continuous and categorical variables, Central Limit Theorem, univariate and bivariate estimation, and hypothesis testing logic and procedures. Students will be exposed to hands-on computational examples using R and SPSS as they learn how to apply the various statistical concepts covered in this course to real-life business situations.

This course focuses on the effective communication of data analysis and its insights and implications. Students will learn the principles and techniques for information visualization and representation as well as verbal and written communication. Students will develop proficiency in several of the latest tools for visualization. Students will use real-world business scenarios to gain experience designing and building data visualization and communication.  Best practices will be highlighted and students will receive tailored individual coaching and feedback sessions to accelerate skill improvement.

Graduate Certificate in Business Analytics

This course will offer Business Analytics students with a broad base introduction to multivariate statistical methods, with particular emphasis on explanatory and predictive techniques. The commonly used dependence and interdepence techniques are discussed, including linear and logistic regression, decision trees and select machine learning approaches. The course is focused particularly on topics relating to technique selection, result interpretation and translation of analytic outcome into decision-guiding insights.

As data analytic technologies became more advanced, it became progressively easier and easier to execute sophisticated analyses; also, as the volume of the available data exploded, more and more analyses began making use of very large sample sizes. Those trends have a direct impact on the validity and reliability of outcomes of statistical analyses, the investigation of which is the focus of this course. More specifically, in this course the students will take a closer look at topics such as the impact of sample size on statistical significance, and the relationship between practical materiality of findings and the more abstractly framed statistical significance.

This course introduces students to the fundamentals of exploratory data analyses, broadly defined here as review of the available/focal data, and extraction of descriptive characteristics with the goal of generating valid and reliable insights. The course covers the basic data due diligence and curation considerations, key data preparatory steps, and offers an overview of a general descriptive data analytical framework. Analytic approach-wise, the course addresses analyst-led exploration utilizing classical statistical techniques, as well as automated data mining applications, while addressing topics of statistical inference, statistical significance, and outcome validity and reliability. Lastly, the course combines conceptual overview of the focal concepts and statistical reasoning, while also providing hands-on introduction to the practical side of data exploration. The general instructional approach used in this course is one that casts exploratory data analyses in the context of the data –> information –> knowledge continuum that underpins extraction of decision-guiding insights out of the available data as a way of answering business questions.

Graduate Certificate in Data Science

This course offers students a hands-on introduction to the basic concepts, practices and applications of developing forward-looking – i.e., predictive – statistical models. Content-wise, the class begins with a conceptual overview of multivariate statistics, followed by a discussion of commonly used types of multivariate predictive models. The second part of the course focuses on hands-on applications of model fitting and evaluation using scripring (R and/or SPSS Statistics) and GUI/object-based (SPSS Modeler) applications.

This course introduces data science students to the foundations of statistical machine learning, which are automated methods of broadly scoped – i.e., descriptive, predictive, explanatory – data analyses. The first part of the course offers a conceptual overview of established and emerging machine learning algorithms, followed, in the second part, by a discussion and hands-on introduction to some of the more widely used machine learning platforms (e.g. R, SAS Enterprise Miner, SPSS Modeler). Some of the specific topics include unsupervised and supervised learning, text mining, data preparation and result interpretation.

This course introduces students to the fundamentals of exploratory data analyses, broadly defined here as review of the available/focal data, and extraction of descriptive characteristics with the goal of generating valid and reliable insights. The course covers the basic data due diligence and curation considerations, key data preparatory steps, and offers an overview of a general descriptive data analytical framework. Analytic approach-wise, the course addresses analyst-led exploration utilizing classical statistical techniques, as well as automated data mining applications, while addressing topics of statistical inference, statistical significance, and outcome validity and reliability. Lastly, the course combines conceptual overview of the focal concepts and statistical reasoning, while also providing hands-on introduction to the practical side of data exploration. The general instructional approach used in this course is one that casts exploratory data analyses in the context of the data –> information –> knowledge continuum that underpins extraction of decision-guiding insights out of the available data as a way of answering business questions.

Admission Requirements

Students accepted into the online graduate certificate in Data Science and Business Analytics Foundations Certificate are ready to do big things in data-driven careers. Graduates who earn the foundations certificate may then choose to pursue an additional certificate in Data Science or Business Analytics, or continue on to their advanced degree.  Application requirements:

  • Proof of bachelor’s degree from an accredited college/university

  • No application fee

  • Prerequisite course: College-level statistics or completion of statistics module

  • Relevant work experience, Résumé

Frequently Asked Questions

A: There are six convenient start dates offered per year for the online graduate certificate in Data Science, Business Analytics, or Foundations. Contact a Merrimack online Application Specialist at 978-206-6708 to find the next start date that works with your schedule.

A: Each four-credit course is eight weeks in length. There are two, 8-week modules offered in the fall, spring, and summer semesters. This schedule allows students to begin the program at six different times during the year.

A: The graduate certificate program typically takes 24 weeks to complete.

A: No, there is no application fee.

A: The tuition for each certificate program is $885 per credit (or $10,620 in total) plus a $50 per course fee. Scholarships and tuition discounts (based on partnerships with your employer) may help offset the cost of the graduate certificate program. Please contact your Application Specialist today at 978-206-6708.

A: A comprehensive fee of $50 per course helps to support the cost of providing the online courses, online library access, academic support and career services, all of which can be accessed virtually. Students pay the comprehensive fee when they take one or more classes during a module. On-campus services are available upon request.

Discover the Merrimack Difference

MERRIMACK COLLEGE ACCOLADES

At Merrimack College, we’re proud of our long history of providing quality degrees to students entering the job market. Our faculty are more than just teachers. We are committed to helping you grow — academically, personally and spiritually — so that you may graduate as a confident, well-prepared citizen of the world.

  • Money magazine 2018 Most Transformative College
  • US News & World Report 2018 #50 Best Regional Universities/North
  • US News & World Report 2018 #11 Most Innovative School Regional Universities/North
  • The Princeton Review 2018 Best Regional College
  • Transitioning Athletics to Division 1 and joining the Northeast Conference in 2019-20
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DATA-DRIVEN Leaders

START HERE

Learn More &

Find out if you qualify for a

$5,000 SCHOLARSHIP