M.S. in Analytics

Discover patterns and Interpret Data with an M.S. in Analytics from Harrisburg University Dubai CAMpUS

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Overview

Data analysts are at the heart of nearly every field and every organization. They help organizations make impactful decisions and revolutionize how an organization functions. As one of the top STEM universities in the United States, Harrisburg University focuses on the technical knowledge and education you need to know in order to succeed in an analytics role. Harrisburg University Dubai Campus’s Master of Science in Analytics program is a top-notch program that prepares you for a fast-paced, information-driven world.

Throughout the 36 semester hours hybrid program, you’ll have the opportunity to pursue one of three concentrations: Healthcare Informatics, Pharmaceutical Sciences, and Individualized, and throughout the program, learn how to interact and understand data in order to help create data-driven solutions.

Concentrations

Masters of Science in Analytics by Harrisburg University Dubai

Healthcare Informatics

The Healthcare Informatics concentration within the Master of Science in Analytics degree program dives into the uses of biomedical data for positive healthcare outcomes. Within the growing healthcare informatics field, you’ll learn how to improve patient care, cost, and efficiency.

Pharmaceutical Sciences

The Pharmaceutical Sciences concentration within the Master of Science in Analytics degree program is built to help you enter the pharmaceutical side of data analysis. You’ll help companies accelerate drug development and discovery, reduce some of the costs, and even possibly improve drug efficacy! It’s a growing field where you can make an impact. This concentration has additional admission requirements beyond the other concentrations.

Individualized

Take courses that build the degree you want to earn. The Individualized concentration for the M.S. in Analytics degree program allows you to select the courses that appeal to you and help you reach your specific goals.

outcomes

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 quality level of a dataset and develop a plan to improve it;
  • Work effectively in a team to develop data-based analytic solutions;
  • Recognize and analyze ethical issues related to intellectual property, data security integrity, and privacy; 
  • 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.

Courses

Analytics I covers the core concepts and applications of analytics. The student is introduced to the main concepts and tools of analytics including descriptive, predictive, and prescriptive analytics. During the course, the student uses a variety of statistical and quantitative methods, computational tools, and predictive models to make data-driven decisions. By the end of the course, the student will apply the concepts to real work projects by asking questions about an issue or situation, using analytical tools to respond to it, and presenting it to technical and layperson audiences.

This course reviews the fundamental mathematics required to be successful in the analytics program. It is designed to strengthen the mathematical abilities while addressing the requirements for coding/scripting. It presents the mathematical topics as coding/scripting problems. This is intended to further strengthen the ability to develop the subroutines/codes/scripts that are also necessary in an analytics career.

Exploratory data analysis plays a crucial role in the initial stages of analytics. It comprises the pre-processing, cleaning, and preliminary examination of data. This course provides instruction in all aspects of exploratory data analysis. It reviews a wide variety of tools and techniques for preprocessing and cleaning data, including big data. It provides the student with practice in evaluating and plotting/graphing data to evaluate the content and integrity of a data set.

The visualization and communication of data is a core competency of analytics. This course takes advantage of the rapidly evolving tools and methods used to visualize and communicate data. Key design principles are used to reinforce skills in visual and graphical representation.

This course takes an applied perspective and provides the statistical tools and analytical thinking techniques needed to formulate a clear hypothesis, determine the most efficient method to obtain required data, determine and apply the proper statistical techniques to the resulting data, and effectively convey the results to both experts and laypersons. The course begins with a review of the descriptive analytics concepts (i.e., sampling, and statistical inferences) introduced in ANLY 500 as well as general conventions regarding experimentation and research. It then progresses to predictive and prescriptive analytics techniques such as regression and forecasting that can be used to predict future events. Later sessions focus on issues related to lack of experimental control (e.g., quasi-experimental design and analysis). The course culminates with a research project in which the student applies the concepts learned to their own research interests.

This course provides students with exposure to an expanded range of analytical methods. This includes additional functions, e.g. the logit function, additional distributions, e.g. Poisson distribution, and additional analysis techniques, e.g. those included in the study of discrete structures such as combinatorics. Particular attention is paid to analytics relevant to disciplines in the social sciences. Also included are survey design, development, and (survey data) analysis.

This course provides the student with the required knowledge and skills to handle and analyze data using a variety of programming languages as well as a variety of programming tools and methods. Depending on current industry standards, the student will be provided with the opportunity to develop knowledge and skills in programming environments such as R, Octave, and Python. In addition, the student is introduced to current industry standard data analysis packages and tools such as those in Matlab, SAS, or SPSS.

This course guides the student to develop and finalize a selected research problem and to construct a proposal that effectively establishes the basis for either writing a thesis or launching an experiential capstone project. In addition, the course provides an overview of strategies for effective problem investigation and developing a strong solution proposal. Research methodology is studied and applied as part of suggesting a solution to a problem. Writing and formatting techniques are also explored and applied as a communication tool for cataloging the investigation and recommending the solution.

Location and Format

Earn your Master’s degree from Harrisburg University at our beautiful Dubai campus! Located in Dubai Knowledge Park, our convenient location serves the MENA region and India — we’re just 3-4 hours from India’s major cities, including Mumbai, Delhi, and Bangalore — making it easy if you live elsewhere.

Our programs are offered in a hybrid format, so you can live where you want for the majority of your education and travel to Dubai for just 3 Saturdays every semester. You could also choose to spend your entire educational experience in Dubai. With a diverse culture and students from around the world congregating in one location, Dubai is a hub of activity and learning. 

Career possibilities

With a Master’s in Analytics, the possibilities are endless. Here are some of the potential job options you’ll have once you graduate with your Master of Science in Analytics from Harrisburg University Dubai Campus:

  • Data Scientist: These professionals take raw data and interpret it, finding ways to benefit and help the business/organization they work for.
  • Healthcare Data Analyst: These analysts look at and interpret data in order to enhance patient care and improve how things are run.
  • Pharmacy Data Analyst: These analysts look at the functionality of a pharmacy or pharmacy department. They look at ways to improve efficiency and cost, among other things.

Tuition

At Harrisburg University Dubai Campus, we provide you with a STEM-based education from one of the leading STEM universities in the United States. We strive to provide you with an affordable education. Below are the costs associated with your degree:

  • Total Program Cost $32,880

    USD $65,760 before USD $32,880 in savings.

  • Semester Cost $5,480

    Six credits and includes $500 program fee (Price reflected after $4980 in savings)

  • Tuition Deposit $1,000

    Applied to the first semester; nonrefundable.

  • Administrative Fee $500

    1-time payment

  • Student Visa Fees Variable

    1-Year Visa: Outside UAE: 7,839 AED OR Inside UAE: 9,469 AED

  • Visa Maintenance Charge 2,500 AED

    This charge is a 1-time payment, which the University may use to meet visa-related expenses that occur)

  • Medical Insurance Fees 1,869 AED

program lead

KEVIN PURCELL, PH.D. - Program lead for data analytics and associate professor of data science at Harrisburg University

kevin purcell, ph.d.

Program Lead for Data Analytics and Associate Professor of Data Science

Take the Next Step

Please fill out the short form below and someone will contact you shortly to discuss the opportunities at Harrisburg University.

By completion and submission of this form, I consent to receive communication from a representative of this institution by phone, text or email regarding the educational program request.