Master of Science in Informatics (MSI): Business Computing and Big Data Analytics

Program Overview

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The Master of Science in Informatics (MSI) in Business Computing and Big Data Analytics prepares students for careers in Big Data Analytics. It covers both the technological foundation and practical application of Big Data in Business Computing, equipping graduates with advanced knowledge and skills in data mining, data warehousing, artificial intelligence, and informatics strategy and management. The program emphasizes hands-on learning through case studies, simulations, and research projects, and graduates are prepared for successful careers in various roles within the Big Data Analytics field.

Program Outline

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Degree Overview:

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Master of Science in Informatics (MSI): Business Computing and Big Data Analytics

This program prepares students for careers in the rapidly growing field of Big Data Analytics. It covers both the technological foundation and practical application of Big Data in Business Computing, equipping graduates with advanced knowledge and skills in:

• Investigative data mining techniques
• Data warehousing
• Artificial intelligence & neural networks
• Informatics strategy and management

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Objectives:

• Provide students with a deep understanding of the theoretical and practical aspects of Big Data Analytics
• Develop students' skills in designing, implementing, and analyzing Big Data solutions for real-world business problems
• Prepare students for successful careers in various roles within the Big Data Analytics field

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Program Description:

The MSI program in Business Computing and Big Data Analytics emphasizes hands-on learning through:

• Case studies and simulations using advanced software from IBM and Microsoft
• Participation in ongoing research projects in data mining, social network analysis, and big data analytics
• Collaboration with internationally recognized visiting faculty and industry experts

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Outline:

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Program Structure:

• Total of 36 credits.
• 4 core courses + 6 elective courses + thesis project.

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Core Courses:

• Data-mining and Data-Warehousing
• Artificial Intelligence & Neural Networks
• Social Network Analysis and Mining
• Investigative Data Mining

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Elective Courses:

• Graph Theory
• Investigative Data Mining
• Social Network Analysis and Mining
• Game Theory
• Pattern Analysis and Detection
• e-Business Technologies
• e-Business and e-Commerce Management
• e-Commerce Programming
• Project Management

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Thesis Project:

• Students complete an independent research project, demonstrating their ability to apply the acquired knowledge and skills.

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Assessment:

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Assessment methods:

• Coursework (assignments, projects, presentations)
• Exams (written, oral)
• Thesis project

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Assessment criteria:

• Understanding of theoretical concepts
• Ability to apply concepts to solve real-world problems
• Critical thinking and analytical skills
• Communication and presentation skills

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Teaching:

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Teaching methods:

• Interactive lectures
• Hands-on labs and simulations
• Group projects
• Research seminars
• Individualized thesis supervision

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Faculty:

• Experienced faculty with expertise in Big Data Analytics, Informatics, and related fields
• Internationally recognized visiting faculty and industry experts

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Unique approaches:

• Focus on real-world case studies and practical applications
• Collaboration with industry partners
• Use of advanced simulation software

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Careers:

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Career paths:

• Big Data Analyst
• Data Scientist
• Business Intelligence Analyst
• Data Architect
• Informatics Consultant

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Career opportunities:

• Technology companies
• Consulting firms
• Financial institutions
• Healthcare organizations
• Government agencies

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Career outcomes:

• Graduates are prepared to design and develop Big Data solutions for a wide range of industries
• They can also pursue research careers in Big Data Analytics

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Other:

• The program emphasizes ethical considerations and responsible use of Big Data.
• Students have the opportunity to participate in international conferences and workshops.
• The program offers financial assistance to eligible students.

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Note:

This is a comprehensive overview, but the specific curriculum and course offerings may change.