MScIT -Data Science and Machine Learning (AI)

2 Years 60 Credit Hours
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Philosophy

MSc IT is a demanding and valuable global qualification in the growing IT industry. Msc.IT offers all aspects of designing, building and managing data, information and communication technologies with intellectual rigor required in the dynamic business world, ecommerce, health, education and others. In addition, the graduates are proficient problem solvers; and offer inputs to unravel the complexities in the IT domains. Eventually, the program produces executive team leaders who are capable of working effectively in the constantly changing IT world.

Over a million IT jobs are created every year and newer opportunities are opened with a good knowledge and understanding for what is essential. Having an advanced knowledge and understanding gives our students an upper hand in the competitive world of business and employment. Opportunities open up into technical, management and information systems as well as possible individual foundations. Graduates who are able to combine these aspects will have opened to them a wide variety of jobs having high demand. Not to mention how IT has now become a well respected profession among professionals.

Overview

The MScIT at PBS is a two year, 60 credit program designed to address the need of IT professionals in various service sectors. The program provides comprehensive knowledge and theoretical understanding of the Information Technology industry and involves the integration of technology, people and strategic business development. It prepares graduates to create Information Technology related computing solutions to complex business problems and apply them to different areas of IT that they come across in their professional capacities. Eventually, they contribute to the accomplishment of organizational goals.

Courses Content
MScIT–Specialization in Data Science and Machine Learning (AI)

Data Science provides necessary skills to use scientific methods, processes, algorithms and system to extract ideas, knowledge and visualization through both structural and non-structural data.

The aim of this concentration is to provide theoricial as well as practical knowledge on various tools, scientific methods, machine learning algorithms with the goal to discover meaningful information and their visualization from large and complex data. It helps to understand the data and extract meaningful patterns which have a wide range of applications in different fields such as financial services, government, healthcare, retail, insurance, agriculture, robotics, telecommunication etc.

 

2 Years 60 Credit Hours 20 Modules

  • Applied Algebra for Machine Learning
    3 Credit Hours
  • Artificial Intelligence and Machine Learning
    3 Credit Hours
  • Artificial Neural Network & Deep Learning
    3 Credit Hours
  • Data Science
    3 Credit Hours
  • Information Retrieval
    3 Credit Hours

  • MSIT 636
    Research Methodology
    3 Credit Hours
  • MSIT 646
    Internet of Things (IoT)
    3 Credit Hours
  • MSIT 648
    Advanced Web Programming
    3 Credit Hours

  • MSIT 600
    Advanced Information Technology
    3 Credit Hours
  • MSIT 601
    Principle of Data Management
    3 Credit Hours
  • MSIT 602
    Modern Operating System
    3 Credit Hours
  • MSIT 603
    Computer Systems Architecture
    3 Credit Hours
  • MSIT 605
    System Analysis and Design
    3 Credit Hours
  • MSIT 606
    Management Information Security
    3 Credit Hours
  • MSIT 607
    Advanced Database Design & Management
    3 Credit Hours
  • MSIT 608
    Information Technology Project Management
    3 Credit Hours
  • MSIT 611
    Wireless & Mobile Systems
    3 Credit Hours
  • MSIT 624
    Telecommunication and Networking
    3 Credit Hours
  • MSIT 690
    Big Data Analytics
    3 Credit Hours
  • MSIT 693
    Applied Information Technology Capstone Project
    3 Credit Hours
Learning Outcomes

What you'll learn

The Master of Science in Information Technology offered by PBS in affiliation with Westcliff University encourages students to achieve the following educational outcomes:

  • Create strategic plans that implement information technology requirements and specifications of complex technology systems.

  • Evaluate computer systems and improve the overall efficiency and effectiveness by incorporating value computing methodologies.

  • Analyze, design, develop, and maintain information technology infrastructure to allow for implementation of strategic initiatives that incorporate emerging technologies.

  • Analyze and construct database management systems to meet the needs of business and technology decision makers.

  • Compare and contrast various methodologies of computer systems design for the purpose of creating efficacy in computer-related business functions.

  • Create and develop the ability to conduct in-depth research, independently or within the enterprise in a broad range of information technology.

  • Create, innovate, design, and improve technology aspects of data collection and analysis to sustain competitive advantage.

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