Data Analytics MSc/PG Dip/PG Cert

Program Overview

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The MSc in Data Analytics at De Montfort University equips students with the technical expertise and professional knowledge for a career in business intelligence. The program combines core concepts of data analytics, data mining, and business intelligence with hands-on practice using industry-standard software tools. Graduates are prepared for roles in analytics through a combination of technical expertise and professional skills development, with optional industry placement opportunities for building contacts and gaining transferable skills.

Program Outline

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Degree Overview:

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Overview:

• The MSc in Data Analytics program at De Montfort University equips students with the technical skills and professional knowledge needed for a career in business intelligence, focusing on the application of analytical techniques to describe and predict business performance.
• The program is designed to prepare graduates for roles in analytics through a combination of technical expertise and professional skills development in the field of business intelligence.

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Objectives:

• Equip graduates with the necessary technical expertise to design, build, and utilize business intelligence systems for traditional online reporting, forecasting, and predictive modeling.
• Enhance employability by providing students with substantial knowledge and skills in deploying industry-standard SAS software.
• Develop skills in using software and techniques such as Apache Spark and Hadoop Distributed File System for data mining and machine learning algorithms.
• Offer access to dedicated computing laboratories equipped with HP dual-boot and all-in-one computers and a high-performance file server.
• Provide opportunities for engagement with real-world issues and solutions through research groups, guest lectures, and seminars.
• Offer optional one-year placement opportunities in industry for building contacts and gaining transferable skills.

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Key features:

• 50-year history of established academic expertise and real-world problem solving insights from SAS-accredited staff.
• Focused development of substantial knowledge and skills in deploying SAS industry-standard software.
• Utilization of software and techniques such as Apache Spark and Hadoop Distributed File System to demonstrate data mining and machine learning algorithms.
• Access to dedicated computing laboratories equipped with HP dual-boot and all-in-one computers and a high-performance file server.
• Exposure to real-world issues and solutions through research groups and guest lectures.
• Optional one-year placement opportunities in industry for building contacts and gaining transferable skills.

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Overall:

• The program offers a comprehensive approach to data analytics education, combining technical expertise, professional skill development, and industry-standard software knowledge.
• The curriculum provides hands-on learning experiences and opportunities to apply techniques to real-world problems, preparing graduates for successful careers in business intelligence and related fields.

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Outline:

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Program content:

• Focuses on core concepts of data analytics, data mining, business intelligence, and related topics.
• Integrates theoretical learning with hands-on practice using industry-standard software tools.

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Structure:

• Divided into two semesters, each with specific learning modules and assessment methods.
• Includes lectures, seminars, tutorials, workshops, self-directed independent study, and research.

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Modules:

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First Semester:

• Data Analytics Infrastructure
• Big Data Applications
• Business Intelligence and Analytics
• Data Management
• Project Proposal, Planning and Project Management

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Second Semester:

• Data Mining Techniques and Methods
• Advanced Business Intelligence
• Elective modules (options may vary)
• Research Dissertation

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Assessment:

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Assessment methods:

• Individual and group projects, presentations, reports, assignments, and examinations.
• Evaluation criteria include critical analysis, problem-solving skills, understanding of concepts and theories, and application of knowledge to practical scenarios.
• Emphasis on developing strong communication, research, and analytical skills.
• Assessment designed to reflect industry expectations and ensure graduates possess the necessary knowledge and abilities for successful careers.

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Teaching:

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Teaching methods:

• Formal lectures, informal seminars, tutorials, workshops, discussions, and e-learning packages.
• Combination of theoretical knowledge and hands-on practice with industry-standard tools.
• Emphasis on active learning, problem-solving, and critical thinking.

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Industry association:

• Developed and run in association with SAS, a leading independent vendor in the business intelligence industry.
• Provides students with the opportunity to acquire substantial SAS software skills and become industry-ready.

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Careers:

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Career opportunities:

• Business intelligence analyst
• Data mining analyst
• Market research analyst
• Business development manager
• Data scientist
• Management consultant
• Research analyst
• Financial analyst

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Industry placement:

• Optional one-year placement opportunities in various organizations and sectors, including management consultancies, retailers, and technology companies.
• Placement year provides valuable industry experience, network-building opportunities, and transferable skills development.

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Other:

• Scholarships: DMU offers various scholarships and bursaries to aid students in pursuing their academic aspirations.

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2024/25 full-time tuition fees for EU and international students: £17,600 per year 2024/25 full-time fees for UK students: £9,500 per year