M.S. in Computer Information Sciences

Integrate business, interpersonal, and computational skills with an M.S. in Computer Information Sciences from Harrisburg University Dubai CAMPUS

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.

Overview

Computers are everywhere. You’re likely on one now, whether it’s your laptop, desktop, or phone. Computer information science takes the knowledge of computers and their systems and brings it to businesses, nonprofits, and even governments in order to help them better use the technology. This could be designing, building, and managing a computer-based system for a non-profit. This could also mean building a cyber security system for a government organization. There are many different avenues that a computer information sciences professional can go down. 

Throughout the 36 semester hours hybrid Master of Science in Computer Information Sciences degree program, you’ll have the opportunity to pursue one of three concentrations: Scientific Computing, Software Engineering and Software Testing, and Cyber Security, and throughout the program, learn how to identify problems and solve them using a computer-based solution.

Concentrations

Scientific Computing

Within the Scientific Computing concentration, you’ll learn how to create mathematical models and simulations of different systems in order to understand and solve complex problems.

Software Engineering and Software Testing

Through the Software Engineering and Software Testing concentration, you’ll learn how to design, develop, and test software applications of all types.

Cyber Security

Within the Cyber Security concentration, you’ll learn about every aspect of protecting an organization from cyber attacks.

outcomes

Graduates of the Master of Science in Computer Information Sciences degree program will be able to:

  • Recognize the necessity for conducting theoretical and empirical analysis;
  • Master at least one knowledge area or sub-area from the body of knowledge to at least the Bloom Synthesis level;
  • Adapt to rapidly changing technology;
  • Apply entrepreneurship qualities;
  • Have strong scientific communication skills;
  • Possess excellent teamwork skills;
  • Adhere to the ethical standards and moral obligations as a condition of their membership in the profession; 
  • Employ concepts that promote local and global systems for quality of life.

Courses

This course addresses the emerging issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. Data engineering is concerned with the role of data in the design, development, management, and utilization of complex computing/information systems. Areas of interest include database design and meta knowledge of the strategies and mechanisms for data access, security, and integrity control. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these data repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence.

Government, academia, and industry have spent a great deal of time, effort, and money dealing with increases in the volume, variety, and velocity of collected data. Collection methods, storage facilities, search capabilities, and analytical tools have all needed to adapt to the masses of data now available. Google paved the way for a new paradigm in Big Data, with two seminal white papers describing the Google File System, a distributed file system for massive storage, and MapReduce, a distributed programming framework designed to work on data stored in the distributed file system. This course introduces the student to the concepts of Big Data and describes the usage of distributed file systems and MapReduce programming framework to provide skills applicable to developers and the data scientist in any facet of industry.

Modern computer information systems are ever-increasing in complexity and sophistication. As a result, software engineers must be able to make effective decisions regarding the strategic selection, specification, design, and deployment of information systems. This course addresses the topics of architectural design that can significantly improve the performance of computer information systems. The course introduces key architectural concepts, techniques, and guidance to software engineers to enable them to make more effective architectural decisions.

This course contains abstract models of computation and computability theory including formal languages, finite automata, regular expressions, context-free grammars, pushdown automata, turing machines, primitive recursive and recursive functions, and decidability and un-decidability of computational problems.

This course is a first-year graduate course in algorithms. Emphasis is placed on fundamental algorithms and advanced methods of algorithmic design, analysis, and implantation. This class covers techniques used to analyze problems and algorithms (including asymptotic, upper/lower bounds, best/average/worst case analysis, amortized analysis, complexity), basic techniques used to design algorithms (including divide and conquer/greedy/dynamic programming/heuristics, choosing appropriate data structures), and important classical algorithms (including sorting, string, matrix, and graph algorithms), and data structures.

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. The course provides an overview of strategies for effective problem investigation and 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 Computer Information Sciences, the possibilities are endless. Here are some of the potential job options you’ll have once you graduate with your Master of Science in Computer Information Sciences from Harrisburg University Dubai Campus:

  • Security Engineer: In this position, you’ll design systems such as firewalls to keep documents and data safe from cyber-attacks.
  • Software Engineer: In this position, you’ll design and develop software systems in order to benefit your company.
  • Data Scientist: In this position, you’ll use skills you’ve learned in our program, such as scientific computing and algorithms in order to extract insights from unstructured data.

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

ABRAR QURESHI, PH.D. Professor of Computer Science & Software Engineering at Harrisburg University

ABRAR QURESHI, PH.D.

Professor of Computer Science & Software Engineering

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.