Master of Data Science Specialisation in Mathematics

2 Years On Campus Masters Program

Edith Cowan University

Program Overview

The Master of Data Science Specialisation in Mathematics at Edith Cowan University is designed for those who are passionate about harnessing the power of data to solve complex problems. This program is ideal for students with a strong mathematical background who wish to deepen their analytical skills and apply them in various industries, preparing them for a rewarding career in data science.

 

Curriculum Structure

Year 1: Students build foundations in programming, biostatistics and mathematical fundamentals, followed by applied multivariate statistics, artificial intelligence, science communication and ethics. This develops the mathematical, statistical and computational skills needed to analyse and interpret complex datasets.

Year 2: Students advance their expertise through machine learning, systems analysis and database design, and time-series forecasting. In the final semester, they complete a substantial Postgraduate Science Project or an approved Professional Placement, applying data science techniques to a practical or research problem.

Focus Areas: Data analysis, machine learning, statistical methods, big data technologies, data visualization.

Learning Outcomes: Proficiency in data manipulation, advanced statistical analysis, machine learning applications, and effective data communication.

Professional Alignment (Accreditation): The program is aligned with industry standards and practices, ensuring that graduates are well-prepared for the workforce.

Reputation (Employability Rankings): Edith Cowan University consistently ranks highly in employability, with strong recognition in QS World University Rankings and other reputable sources.

 

Experiential Learning (Research, Projects, Internships etc.)

At Edith Cowan University (ECU), the Master of Data Science with a Specialisation in Mathematics is designed to provide students with a robust blend of theoretical knowledge and practical skills. The program emphasizes experiential learning, ensuring that you not only understand the concepts but also apply them in real-world scenarios. With access to state-of-the-art facilities and cutting-edge tools, you will be well-equipped to tackle complex data challenges.

 

Here’s what you can expect in terms of experiential learning opportunities:

- Hands-on Projects: Engage in group projects that simulate real-world data science problems, allowing you to collaborate with peers and apply your learning in a practical context.
- Internships: Gain valuable industry experience through internship opportunities, where you can work with leading organizations and apply your skills in a professional setting.
- Advanced Software: Utilize industry-standard software such as Python, R, and SQL, along with data visualization tools like Tableau and Power BI, to analyze and interpret data effectively.
- Research Laboratories: Access dedicated research labs equipped with the latest technology, providing a space for experimentation and innovation in data science.
- Field Trips: Participate in field trips to local businesses and tech companies, giving you insights into how data science is applied in various industries.
- Library Resources: Benefit from extensive library resources, including access to academic journals, databases, and research materials that support your studies.
- Collaboration with Institutes: Work alongside ECU’s research institutes, which focus on data science and mathematics, enhancing your learning experience through exposure to cutting-edge research.

 

Progression & Future Opportunities

Graduating with a Master of Data Science Specialisation in Mathematics from Edith Cowan University (ECU) opens up a world of opportunities in a rapidly growing field. Graduates are well-prepared for roles such as Data Scientist, Data Analyst, Business Intelligence Analyst, and Machine Learning Engineer. The demand for skilled professionals in data science continues to rise, making this an excellent choice for your future career.

 

Here’s what you can expect in terms of progression and opportunities:

- University Services: ECU offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals to help you secure employment.
- Employment Stats and Salary Figures: According to recent data, graduates in data science can expect a starting salary ranging from AUD 80,000 to AUD 120,000, with many experiencing rapid salary growth as they gain experience.
- University–Industry Partnerships: ECU has established strong partnerships with leading companies such as IBM and Microsoft, providing students with access to real-world projects and internships that enhance learning and employability.
- Long-term Accreditation Value: The Master of Data Science is accredited by relevant professional bodies, ensuring that your qualification is recognized and valued in the industry.
- Graduation Outcomes: ECU boasts a high graduate employment rate, with many students finding work within six months of completing their degree, thanks to the university's strong industry connections and practical learning approach.

Further Academic Progression: After completing your Master’s program, you may choose to pursue a PhD in Data Science or a related field, allowing you to delve deeper into research and contribute to advancements in the discipline. This path can lead to academic positions or specialized roles in research and development within the industry.

 

Program Key Stats

$42,400
$33,650

Febr Intake : 1st NovJuly Intake : 30th Apr


61%
Yes

Eligibility Criteria

NA

NA
NA
NA
6.5
84
NA

Additional Information & Requirements

Country Requirements

Career Options

  • Data Scientist
  • Data Analyst
  • Statistician
  • Computational Scientist
  • Machine Learning Specialist
  • Quantitative Analyst
  • Business Intelligence Analyst
  • Data Science Consultant
  • Data Mining Specialist
  • Research Analyst

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