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MS in Analytics

MS in Analytics

Data analysts are forging new relationships in virtually every discipline: business, healthcare, geology, mathematics and statistics, biology, chemistry, computer science, information systems and technology, engineering, psychology, behavioral science, operations research, and more, in addition to potential interactions between these disciplines, using role-based interaction with information and analytics to enable highly- collaborative, data-driven organizations. The graduate of this program enters the workforce prepared for the complex, information-intensive world.

About The Programme

Graduates of the Master of Science in Analytics program will be able to:

  • Identify and assess the opportunities, needs and constraints for data usage;
  • Make clear and insightful analyses changing direction quickly as required by these analyses;
  • Measure, evaluate, and explain the level of quality of a dataset and develop a plan to improve the quality;
  • Work effectively in a team to develop data analytic solutions;
  • Recognize and analyze ethical issues related to intellectual property, data security integrity, and privacy; and
  • Communicate clearly and persuasively to a variety of audiences.

Graduates become data scientists and analysts in finance, marketing, operations, and business intelligence working groups that generate and consume large amounts of data.

Course Details

Core courses - 15 Credits

  • ANLY 500  Analytics I: Principles and Applications (3 Credits)
  • ANLY 502  Mathematical Foundations for Data Analysis (3 Credits)
  • ANLY 510  Analytics II: Principles and Applications (3 Credits)
  • ANLY 506  Exploratory Data Analysis (3 Credits)

                                         or

  • ANLY 512  Data Visualization (3 Credits)
  • ANLY 545  Categorical Data Analysis (3 Credits)

                                        or

  • ANLY 560  Advanced Programming for Data Analytics (3 Credits)

Complete the following Experiential courses - 6 Credits

  • GRAD 695  Research Methodology and Writing (3 Credits)
  • ANLY 699  Applied Project in Analytics (3 Credits)

                                        or

  • GRAD 699  Graduate Thesis (3 Credits)

Complete one of the following Concentrations:

Three Concentrations are offered:

  • Individualized (15 Credits)
  • Healthcare Informatics (15 Credits)
  • Pharmaceutical Sciences (15 Credits)

TOTAL CREDITS - 36

Programme Highlights

University
Harrisburg University of Science & Technology
Total Fee
$34,380
Total Hours
36 Hours
Credit Fee
$955

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