Master of Data Science (Artificial Intelligence & Machine Learning)

Postgraduate Entry Requirements:

Academic Requirement: A minimum of 60% and above in the relevant qualifying examination, such as a bachelor's degree or equivalent.

English Language Proficiency: 

• IELTS (International English Language Testing System): An overall score of 6.5 or 7.0, with a minimum score of 6 in each individual section.
• TOEFL (Test of English as a Foreign Language): An overall score of 80, with a minimum of 19 in listening, 19 in reading, 23 in writing, and 21 in speaking.
• PTE (Pearson Test of English): An overall score of 50, with a minimum of 50 in each individual section.

Students must provide:

• academic marksheets & transcripts
• letters of recommendation
• a personal statement - SOP
• passport
• other supporting documents as required by the university.

Work experience: Some postgraduate courses may require relevant work experience in the field.

It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.

The University of Southern Queensland (USQ) in Australia is deeply making high-quality education accessible to a diverse international student community. To support this commitment, the university offers a range of scholarships tailored to recognize academic achievement, promote diversity, and alleviate financial burdens for international students.

1. Academic Excellence Scholarships: USQ values and rewards exceptional academic performance. International students who have demonstrated outstanding scholarly achievements may be eligible for academic excellence scholarships. These scholarships are often based on factors such as grade point averages (GPA) or standardized test scores.
2. Diversity Scholarships: The university values diversity and believes in providing equal opportunities to students from various backgrounds and regions. Diversity scholarships are designed to support students from underrepresented areas or cultural groups, fostering inclusivity within the international student body.
3. Financial Need-Based Scholarships: Recognizing that financial constraints can be a significant barrier to education, USQ offers need-based scholarships to support students with limited financial resources. These scholarships aim to alleviate the financial burden of tuition and living expenses.
4. Leadership and Extracurricular Scholarships: The university encourages students to engage in leadership roles and participate in extracurricular activities. International students who have demonstrated exceptional leadership skills and active involvement in extracurricular activities may qualify for these scholarships.
5. Country-Specific Scholarships: USQ may offer scholarships tailored to specific countries or regions, aiming to attract students from particular areas and promote cross-cultural understanding.

Master of Data Science (Artificial Intelligence & Machine Learning): Graduates of the program have a plethora of career options in the data science field.

1. Data Scientist: Data scientists analyze large datasets to extract meaningful insights and trends. They apply machine learning and artificial intelligence techniques to solve complex business problems.

2. Machine Learning Engineer: Machine learning engineers design and implement machine learning algorithms to create predictive models and automated systems. They play a key role in developing AI applications.

3. Artificial Intelligence Engineer: AI engineers focus on designing and developing artificial intelligence systems and applications. They work on projects related to natural language processing, computer vision, and robotics.

4. Big Data Analyst: Big data analysts manage and analyze massive datasets to identify trends and patterns. They use machine learning to make data-driven decisions.

5. Business Intelligence Analyst: Business intelligence analysts use data science techniques to provide insights for business decision-making. They create data visualizations and reports for organizations.

6. Data Mining Specialist: Data mining specialists extract hidden patterns and valuable information from data. They develop algorithms to discover correlations and insights.

7. AI Research Scientist: AI research scientists conduct in-depth research on artificial intelligence, working on cutting-edge projects and contributing to the advancement of the field.

8. Data Engineer: Data engineers build and maintain data architecture, ensuring that data is collected, stored, and processed effectively for analysis.

9. AI Consultant: AI consultants provide expert guidance to businesses looking to implement artificial intelligence solutions. They assess needs, develop strategies, and recommend AI technologies.

10. Quantitative Analyst (Quant): Quants use data science techniques to analyze financial data and develop quantitative models for financial markets and risk management.