MBA in Data Analytics
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
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MGT 600Influential & Impactful Communication3 Credit Hours
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FIN 500Financial & Accounting Skills for Managers3 Credit Hours
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ORG 500Organizational Behavior3 Credit Hours
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LDR 500Organizational Leadership3 Credit Hours
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ECO 500Managerial Economics3 Credit Hours
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MIS 500Managing Information Systems & Technology3 Credit Hours
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MKT 500Marketing Management3 Credit Hours
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MGT 500Strategic Management in a Globalized Economy3 Credit Hours
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--- --- ---Applied Methods-Information Technology (Capstone)3 Credit Hours
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RES 600Business Research Methodology3 Credit Hours
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--- --- ---Social Media and Web Analytics for Business3 Credit Hours
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CLD 600Virtualization and Storage3 Credit Hours
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--- --- ---Python Programming3 Credit Hours
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MIS 550Big Data Analytics and Visualization3 Credit Hours
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--- --- ---Applied Statistics for Optimization3 Credit Hours
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BUS 626Statistical Analysis for Decision-Making Process3 Credit Hours
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EMT 600Artificial Intelligence and Machine Learning3 Credit Hours
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--- --- ---Data Engineering3 Credit Hours
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--- --- ---Regression and Time-Series Models3 Credit Hours
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--- --- ---Database Design and Management3 Credit Hours
Student must complete sixty (60) prescribed credit hours with a cumulative GPA of 3.0 or higher, including 48 credits MBA core course and 12 credits concentration course.
Bachelor’s degree in any discipline from a recognized university of Nepal or from universities around the globe with a minimum CGPA of 2.0, or 45% or an equivalent grade scale in undergraduate level.
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