Access our archived course, Analytics of all Industries, for a preview into the course offerings of the Master of Professional Studies in Analytics program.

With the proliferation of data across all sectors of the global economy, there is an immediate need for individuals to be knowledgeable in how to harness this data for continuous analysis and study. This spectrum spans from commercial to nonprofit, from higher education to government, and is constantly expanding with new sectors, as data mining becomes the standard for knowledge gathering in the digital age. By 2020, more than 2.7 million job openings will be available and in need of qualified data professionals to fill them.

Stay ahead of the curve and keep your finger on the pulse of what’s next! Begin the course any time, completing the modules at your own pace. Be introduced to big data and data management and its evolutionary stages and the different levels of analytics practice, as it builds the base for Artificial Intelligence applications.

Learn more about advanced degree opportunities available from the Lifelong Learning Network, to thrive and succeed personally and professionally. Programs are designed to meet learners’ needs at any point in their professional journey.

About the Featured Faculty Experts


Dr. Uwe Hohgrawe
Lead Faculty
Master of Professional Studies in Analytics program
See Uwe’s bio


Dr. Alice Mello
Lecturer, Master Analytics
Research & Evaluation Associate, LEADR
See Alice’s bio

  • Module 1: Introduction to Analytics

    Gain an overview of analytical concepts and practices across a diverse range of industries and organizational contexts. Be introduced to big data and its evolutionary stages. Discover the different levels of analytical practice, as it builds the base for Artificial Intelligence applications. Learn about the current theories and debates in the field of analytics, to critically examine its practice.

    Learning Objectives

    • Understand the evolution of big data and its functions.
    • Examine the core elements of big data.
    • Learn how data is an important source for decision-guiding insights.
    • Explore data analytics roles.

    Supporting Materials

    Use the following links to support your learning experience.

    Infographic
    Discover the evolution of big data.

    Intro to Big Data and Big Data Analytics
    Be introduced to big data and its evolutionary stages and the different levels of analytics practice.

    A Politics of Counting – Putting People Back into Big Data
    Learn about the socio-technical impacts that can factor into big data.

    Important Job Roles in Data Science Industry Today – Who does what?
    Get to know the types of roles available within data science and the skills and languages needed to be successful within them.

    Data Leadership: Defining the Expertise your Organization Needs
    Discover the data leadership roles needed across industries to leverage new technologies and business models to generate insights and deliver customer value, with a goal of monetizing data in real time.

    Factors Influencing Big Data Decision-Making Quality
    Understand how to harness the power of big data to improve decision-making and routinization of processes.

    Roles and Processes in Analytics Development
    Explore data analytics processes, based on advances in large scale internet connectivity, data warehousing, and data analysis and mining algorithms development.

    Careers in Analytics
    Examine a variety of career paths for data analysts and review how several industries are using data analytics.

    Video

    Watch this week’s featured video in less than 12 minutes.

    More than ever before, data is embedded in so many areas of our everyday lives, with analytics being utilized to create personalized, user experiences. Having the skills and competencies to be agile with data and effectively communicate the meaning of that data can provide a competitive advantage in our professions and industries.

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  • Module 2: Communication and Visualization for Data Analytics

    Creating and sharing digital stories with data is all about making connections between the experiences of the designer and those of the user. Gain an interdisciplinary understanding of design concepts as well as the cognitive and communication theories which support effective practices for data visualization. Consider the relationship between information and audience, and study effective techniques in the written, spoken, and visual communication of complex, quantitative information.

    Learning Objectives

    • Learn the theories of visual perception.
    • Understand key informational design concepts, with an emphasis on the relationship between information and audience.
    • Explore various methods of storytelling.
    • Learn about the tools used to improve the designs of data visualizations.

    Supporting Materials

    Use the following links to support your learning experience.

    Data Visualization Resource Guide
    Learn about the tools used to improve the designs of data visualizations

    Fundamental Ways We Use Data: Part I
    Fundamental Ways We Use Data: Part II
    Discover the five fundamental ways to use data visualizations effectively.

    Videos

    Watch this week’s featured videos in less than 20 minutes.

    Stay on top of industry trends with the Master of Professional Studies in Analytics program. Gain exposure to industry experts and work with data sets from organizations such as GE, the United Nations, and Vertex, to learn how to apply analytics to specific business functions and needs.

    Understand the four main phases of working in analytics and the collaboration needed with business partners to establish a course of action.

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  • Module 3: Wrap-up and Learning Opportunities

    Conclude your learning experience with a faculty discussion on the key concepts covered in the Master of Professional Studies in Analytics program. Explore the learning opportunities and concentrations focused on analytics available to you at Northeastern University.

    Learning Objectives

    • Discover the key concepts of the Master of Professional Studies in Analytics program
    • Find out about the additional learning programs and opportunities available.

    Supporting Materials

    Use the following link to support your learning experience.

    A Guide to What You Should Know: Breaking Into Analytics
    Enhance your course learning and explore the impact big data could have on your career with this e-book. Find out the average salary and projected job growth in roles ranging from data scientist to business analyst. Hear why Northeastern alumni chose to pursue their graduate degree in analytics

    Videos

    Watch this week’s featured videos in less than 15 minutes.

    Learn about the key concepts covered in the Master of Professional Studies in Analytics program. Hear about experiential learning and the human literacy elements that make this program unique.

    As artificial intelligence continues to evolve, learn about the impact big data can have.

    Discover the essential skills needed to be successful in the age of artificial intelligence.

    Hear about the role data analytics has in how we lead artificial intelligence.

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POINT OF CONTACT

Molly Herman, MS’15

Interim Director, Educational Initiatives
617.373.3187

a.cole@northeastern.edu

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