MBA in Data Analytics

2 years 60 Credit Hours
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Philosophy

The volume and value of data is increasing exponentially in this digital era. The International Data Corporation predicts that, by 2025, the total amount of digital data created worldwide will rise up to 175 zettabytes. It is aggregated mainly via social network, search engine, text messages, media files, IoT and sensors etc. Data allows for better decision making, more efficient teams, and company growth. Without the right skill set though, entering the data economy is a pipedream. However, the vastness and complexity of the data generated makes it impossible to be handled by traditional data processing and analysis systems. Data analytics makes it easy to handle such data.

This programme teaches groundbreaking tools and technologies focusing on gathering, exploring, discovering and visualizing the hidden patterns from vast amounts of data. The discovered interesting patterns are very useful for decision making and business growth.  Some of these tools and techniques are: database technology, cloud and big data management, data mining, supply chain analytics, time series analytics etc. Data analytics is widely adapted in every sector for making better decisions such as marketing, healthcare, banking and financial, e-commerce, social media, genomics, pharmaceutical, geographic information system and remote sensing, transportation etc. Along with data analytics, students develop the managerial skills for managing data analytics projects with a great deal of understanding business related issues.

Overview

The PBS MBA in Data Analytics program conceived primarily to suit the needs of the working professionals is a 2 years, 60-credit program structured to allow enough flexibility for (working) students. Equally competitive with the existent full-time courses within the domestic curricula from national universities, this Westcliff University degree offered by PBS is an internationally-recognized degree, which is hybrid in nature. While it adheres to a global standard of curriculum to garner international recognition, it also integrates local business/ managerial values along with cutting edge data analytics skills to produce human resources that cater to the needs of the domestic as well as international market.

Courses Content
MBA in Data Analytics–Course Content
2 years 60 Credit Hours 20 Modules

  • MGT 600
    Influential & Impactful Communication
    3 Credit Hours
  • FIN 500
    Financial & Accounting Skills for Managers
    3 Credit Hours
  • ORG 500
    Organizational Behavior
    3 Credit Hours
  • LDR 500
    Organizational Leadership
    3 Credit Hours
  • ECO 500
    Managerial Economics
    3 Credit Hours
  • MIS 500
    Managing Information Systems & Technology
    3 Credit Hours
  • MKT 500
    Marketing Management
    3 Credit Hours
  • MGT 500
    Strategic Management in a Globalized Economy
    3 Credit Hours
  • --- --- ---
    Applied Methods-Information Technology (Capstone)
    3 Credit Hours
  • RES 600
    Business Research Methodology
    3 Credit Hours
  • --- --- ---
    Social Media and Web Analytics for Business
    3 Credit Hours
  • CLD 600
    Virtualization and Storage
    3 Credit Hours
  • --- --- ---
    Python Programming
    3 Credit Hours
  • MIS 550
    Big Data Analytics and Visualization
    3 Credit Hours
  • --- --- ---
    Applied Statistics for Optimization
    3 Credit Hours
  • BUS 626
    Statistical Analysis for Decision-Making Process
    3 Credit Hours
  • EMT 600
    Artificial Intelligence and Machine Learning
    3 Credit Hours
  • --- --- ---
    Data Engineering
    3 Credit Hours
  • --- --- ---
    Regression and Time-Series Models
    3 Credit Hours
  • --- --- ---
    Database Design and Management
    3 Credit Hours

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