Dublin Business School
Dublin Business School

MSc Financial Analytics

Dublin Business School, Ireland

Course Overview

Financial analytics equips decision makers with the tools needed to navigate an increasingly intricate world. By amalgamating internal financial and operational data with external sources like social media, demographics, and big data, financial analytics can address critical business inquiries with unprecedented ease, speed, and precision. The Master of Science (MSc) in Financial Analysis has been meticulously crafted to fulfill the escalating demand for financial professionals possessing practical skills essential for a swiftly evolving, data-driven financial landscape. Upon completing this program, graduates will grasp the fundamental principles of finance, possess the ability to employ data analytics, machine learning, and visualization tools, apply suitable financial analytic models, and gain an enhanced understanding of ethical business decision-making in a cyber context. Both full-time and part-time program options are tailored to accommodate learners with backgrounds in mathematics, economics, computing, or technology who aspire to enhance their expertise in the emerging field of Financial Analytics. Students can choose to focus solely on theory and practical modules without completing the dissertation. Program Objectives: The overarching goal of the program is to produce graduates with robust proficiencies in the application of financial analytics in a contemporary and evolving data-driven environment, while also refining practical and technical skills. Specific aims of the Master of Science (MSc) in Financial Analytics program include: 1. Empowering learners to cultivate profound knowledge and analytical skills in current and evolving financial technologies. 2. Providing learners with the capability to think critically and make well-informed, value-creating decisions based on intricate and voluminous data. 3. Developing learners' core competencies and technical skills in applied finance, quantitative modeling, risk management techniques, and financial statement analysis. 4. Enhancing the learner's adeptness to operate effectively in cross-cultural settings, comprehend the nature and complexities of globalization, and maintain a commitment to business ethics in a global financial business environment. 5. Nurturing learners' leadership qualities, enabling graduates to lead teams and achieve organizational goals. 6. Cultivating an innovative and entrepreneurial mindset to enable learners to tackle real problems in an ever-evolving, technologically driven work environment. 7. Equipping learners to identify, develop, and apply detailed analytical, creative, problem-solving, and research skills. 8. Providing learners with a comprehensive platform for career development, innovation, and further study.

Course Type
PG
Course Nature
Full Time
Course Duration
1 Year
Total Fee
€14500
Intake
September 2024 , January 2024
Language Proficiency

Under Graduation:55%
IELTS:6.5

Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • PASSPORT
  • LOR 1
  • LOR 2
  • CV
  • IELTS
  • SOP
  • EXPERIANCE CERTIFICATES
University
Dublin Business School
University Details

Syllabus

Stage One:

  1. Principles of Financial Decision Making
  2. Data Analytics & Machine Learning for Finance
  3. Predictive Financial Modeling
  4. Applied Financial Analytics
  5. Financial Intelligence & Data Visualization
  6. Information & Cybersecurity Management
  7. Financial Risk Management
  8. Behavioral Economics & Finance
  9. Innovation in Financial Technology

Stage Two:

  1. Applied Research Methods
  2. Applied Research Project

Assessment Methods: Assessment in the MSc in Financial Analytics program is structured to facilitate the progression of theoretical and practical concepts in a logical manner. The assessment strategy emphasizes the practical application of core principles and ensures comprehensive feedback to enhance the overall learning experience. Assessment methods include practical individual or group projects, continuous assessment, and, where appropriate, final examinations. The program is designed to develop skills and attributes relevant to the contemporary workplace, and the assessment strategy reflects this objective.

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