Master of Business Analytics

2 Years On Campus Masters Program

Deakin University

Program Overview

The Master of Business Analytics at Deakin University is designed for those looking to harness the power of data to drive business decisions. This program is ideal for aspiring data analysts, business strategists, and decision-makers who want to develop advanced analytical skills and apply them in real-world business contexts.

 

Curriculum Structure

In the first year, students will dive into foundational concepts with units such as "Data Analytics for Business" and "Business Intelligence." These courses provide essential skills in data manipulation and visualization, equipping students with the tools to analyze complex datasets and derive actionable insights.

As students progress into the second year, they will engage in more specialized topics, including "Predictive Analytics" and "Data Mining." This year focuses on advanced analytical techniques, allowing students to explore predictive modeling and machine learning, which are crucial for making informed business decisions based on data trends.

Focus Areas: Data analysis, predictive modeling, business intelligence, big data.

Learning Outcomes: Advanced analytical skills, data-driven decision-making, proficiency in analytics tools, and the ability to communicate insights effectively.

Professional Alignment (Accreditation): The program is aligned with industry standards and is designed to meet the needs of employers in the analytics field.

Reputation (Employability Rankings): Deakin University consistently ranks highly in employability, with strong recognition in QS World University Rankings and The Guardian, reflecting its commitment to preparing students for successful careers.

 

Experiential Learning (Research, Projects, Internships etc.)

At Deakin University, the Master of Business Analytics program is designed to provide students with a rich blend of theoretical knowledge and practical skills that are essential in today’s data-driven business environment. Students engage in hands-on learning experiences that prepare them for real-world challenges, utilizing state-of-the-art facilities and tools. The program emphasizes experiential learning through various projects, internships, and access to advanced software, ensuring that graduates are well-equipped to excel in their careers.

 

Here are some key aspects of the experiential learning opportunities available in the Master of Business Analytics program:

- Industry-Standard Software: Gain proficiency in leading analytics tools such as R, Python, Tableau, and SQL, which are widely used in the industry.
- Group Projects: Collaborate with peers on real-world business problems, allowing you to apply your analytical skills in a team setting and develop essential teamwork and communication abilities.
- Internship Opportunities: Benefit from connections with industry partners that provide internship placements, giving you valuable work experience and networking opportunities.
- Digital Tools: Access to Deakin’s cloud-based learning environment and digital resources, enabling you to work on projects and assignments from anywhere.
- Field Trips: Participate in excursions to local businesses and organizations, where you can observe analytics in action and gain insights from industry professionals.
- Research Laboratories: Utilize dedicated research facilities equipped with the latest technology to conduct data analysis and research projects.
- Libraries and Learning Spaces: Take advantage of Deakin’s extensive library resources and collaborative learning spaces designed to support your studies and research.
- Deakin Business School: Engage with a vibrant community of scholars and industry experts, enhancing your learning experience through seminars, workshops, and guest lectures.

 

Progression & Future Opportunities

Graduating with a Master of Business Analytics from Deakin University opens up a world of opportunities in the rapidly evolving field of data-driven decision-making. Graduates are well-prepared for roles such as Data Analyst, Business Intelligence Consultant, and Analytics Manager, where they can leverage their skills to drive strategic business outcomes. The demand for professionals in this field is growing, making it an exciting time to enter the workforce:

 

- University Services: Deakin offers dedicated career services, including resume workshops, interview preparation, and networking events with industry leaders, ensuring you are well-equipped to enter the job market.
- Employment Stats and Salary Figures: According to recent data, graduates from Deakin's Master of Business Analytics program have a high employment rate, with many securing positions within six months of graduation. The average starting salary for graduates in this field is competitive, often exceeding $80,000 per year.
- University–Industry Partnerships: Deakin has established strong partnerships with leading companies such as IBM and Deloitte, providing students with opportunities for internships, real-world projects, and networking that can significantly enhance their employability.
- Long-term Accreditation Value: The program is accredited by the Australian Computer Society, ensuring that your qualification is recognized and respected in the industry, which can lead to better job prospects and career advancement.
- Graduation Outcomes: Graduates of the program report high levels of satisfaction with their career progression, with many moving into senior roles within a few years of completing their studies.

Further Academic Progression: After completing your Master of Business Analytics, you may choose to further your studies by pursuing a PhD in Business Analytics or a related field. This can open doors to academic positions, research opportunities, or advanced roles in industry that require a deeper level of expertise. Additionally, you could consider specialized certifications in data science or machine learning to enhance your skill set and marketability in the job market.

 

Program Key Stats

$45,800
$8,637
Rolling


No
Yes

Eligibility Criteria


N/A
N/A
N/A
6.5
79
N/A

Additional Information & Requirements

Country Requirements

Career Options

  • business analyst
  • data analyst
  • analytics consultant
  • Business intelligence developer
  • Business intelligence analyst
  • Data engineer
  • Artificial intelligence engineer
  • Business data scientist
  • Analytics project manager
  • Risk and compliance analyst
  • Data and AI governance consultant

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