Finance and Investment (Online), MSc, Online learning course

Program Overview

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This online MSc in Finance and Investment equips students with a comprehensive understanding of global economics, financial markets, and investment strategies. Through a flexible learning format, students develop analytical, problem-solving, and communication skills essential for success in the finance industry. The program emphasizes real-world application through data analysis projects, case studies, and industry guest lectures, preparing graduates for a wide range of career opportunities in banking, financial analysis, and investment management.

Program Outline

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Finance and Investment (Online) MSc

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Degree Overview:

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Overview:

This program provides students with an in-depth understanding of global economics, financial markets, reporting and modeling, investment valuation, portfolio management, financial services, and the impact of emerging technologies. It has been designed in collaboration with industry leaders to equip graduates with the relevant experience needed to succeed in the finance industry. Students will develop the skills and knowledge necessary to make informed investment decisions in light of disruptive new financial technologies, globalization, and sustainability concerns. They will work with real-time financial data and conduct extensive data analysis projects utilizing industry-leading datasets.

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Objectives:

The program aims to:

• Equip graduates with the necessary skills and knowledge to thrive in the finance industry.
• Develop an understanding of the impact of disruptive new financial technologies, globalization, and sustainability on investment decision-making.
• Provide a strong foundation in global economics, financial markets, investment analysis, portfolio management, and financial services.
• Enable graduates to confidently analyze financial data, conduct research, and make informed investment decisions.
• Foster critical thinking, problem-solving, and communication skills essential for success in the dynamic field of finance.

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Outline:

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Program Content:

• The curriculum covers a comprehensive range of topics in finance and investment, including:
• Global Economics
• Financial Markets
• Investment Analysis
• Portfolio Management
• Financial Services
• Financial Technology (FinTech)
• Environmental, Social and Governance (ESG) considerations
• Data Analysis
• Risk Management

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Structure:

• The program is delivered entirely online through a flexible learning format.
• It consists of 10 core modules, each carrying 20 credits, totaling 180 credits for the entire program.
• Students can choose to complete the program in two years, studying part-time.

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Course Schedule:

• The course schedule is designed to be flexible, allowing students to study at their own pace.
• Modules are delivered in a blended format, combining online lectures, tutorials, and self-directed study.
• Students can access course materials and interact with peers and tutors through the virtual learning environment (VLE).

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Individual Modules:

• Each module focuses on a specific area of finance and investment.
• Module descriptions are provided below:
• Behavioral Finance and Economics:
This module delves into the psychology and behavioral science behind financial decision making, analyzing market anomalies using insights from these fields.
• Financial Data Analysis Project: Students apply theoretical understanding of portfolio theory, risk management, behavioral biases, and ESG considerations to build a diversified portfolio in a global context.
• Financial Services and Emerging Technologies: This module explores the critical role of FinTech in financial and investment services, focusing on technological advancements, customer needs, and user experience.
• International Finance and Financial Markets: Students gain an understanding of the global financial landscape, including trade and capital flows, exchange rate regimes, and financial market mechanisms.
• Investment and Portfolio Management: This module explores portfolio theory, risk management, and behavioral biases in the context of real-time data and industry-standard software.
Students learn to make strategic allocation decisions for optimal risk-reward outcomes.

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Assessment:

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Assessment Methods:

• The program utilizes a variety of assessment methods to evaluate student learning outcomes.
• These methods include:
• Examinations:
These assess students' knowledge and understanding of key concepts.
• Business Reports: Students apply theoretical knowledge to real-world scenarios by writing comprehensive reports.
• Case Study Analysis: Students develop problem-solving and analytical skills through in-depth analysis of real-world business cases.
• Data Analysis Projects: Students demonstrate their ability to apply statistical and analytical techniques to solve complex problems.

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Assessment Criteria:

• Assessments are aligned with industry standards and professional body requirements, ensuring graduates possess the necessary skills and knowledge for successful careers.
• Criteria include:
• Content knowledge:
Demonstrating a deep understanding of the relevant subject matter.
• Critical thinking: Analyzing information, identifying problems, and developing solutions.
• Problem-solving: Applying theoretical frameworks and analytical techniques to real-world situations.
• Communication skills: Presenting information effectively, both orally and in writing.
• Professionalism: Demonstrating ethical behavior, effective teamwork, and strong work ethic.

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Teaching:

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Teaching Methods:

• The program employs diverse teaching methods to cater to various learning styles.
These methods include:
• Interactive online lectures:
Delivered by experienced academics and industry professionals, providing a strong foundation in key concepts.
• Small-group tutorials: These provide personalized guidance and support, fostering interactive learning and peer-to-peer interaction.
• Directed exercises: Students engage in practical activities to solidify their understanding and develop critical skills.
• IT-based activities: The program utilizes industry-standard software and datasets for hands-on learning and data analysis.

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Faculty:

• The program is taught by a team of highly qualified and experienced academics, all actively engaged in research within their respective fields.
• This ensures students receive up-to-date knowledge and insights from leading experts.

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Unique Approaches:

• The program adopts a blended learning approach, combining online and offline elements for a flexible and interactive learning experience.
• It emphasizes real-world application through data analysis projects, case studies, and guest lectures from industry professionals.
• The program fosters a supportive learning environment through online communities, regular interaction with tutors, and personalized feedback.

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Careers:

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Career Opportunities:

• Graduates of this program are well-equipped for a wide range of career opportunities within the finance industry, including:
• Banking
• Financial Advice
• Financial Analysis
• Insurance
• Pensions
• Private Wealth
• Research
• Valuation

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Employability Skills:

• The program equips students with a range of skills and attributes highly sought-after by employers in the finance sector, such as:
• Strong analytical and problem-solving skills.
• Advanced financial modeling and data analysis skills.
• Understanding of global economics, financial markets, and investment strategies.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.

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Career Support:

• The program provides dedicated career support services, including workshops, industry networking events, and personalized guidance.
• This helps graduates develop their career paths and prepare for successful job applications.