Data Science Courses

The Data Analytics: Transform course is ideal for those looking to enter the data/tech industry, focusing on turning data into actionable insights. It covers data collection, organisation, cleaning, and analysis to support informed decision-making. Students will learn Python programming, data visualization, SQL, regression modeling, and web scraping. They will translate data into actionable insights and drive business results. The course concludes with a capstone project, allowing students to apply their skills to a topic of their choice, demonstrating practical outcomes for the workplace. .

The Data Analytics with Python: Elevate course offers flexible learning tailored to your schedule, whether over six months or a few weeks. It teaches foundational Python and SQL skills, with practical applications in data visualisation, exploratory data analysis, and simple data modelling. The course includes extensive practice through lab exercises and embedded activities, enhancing your coding and analytical skills. Students will also complete a mid-point and a final project to consolidate their learning and demonstrate their proficiency in data analytics. .

The Data Analytics: Elevate course is tailored for professionals aiming to harness the full potential of data. Data Analytics involves extracting valuable information from raw data, a process that includes sourcing, cleaning, and analysing data to uncover insights and discern trends hidden within large data sets. With the increasing volume and variety of data, the ability to confidently use data to drive business decisions is crucial. This course is designed for those who wish to deepen their understanding of data analytics and apply it effectively to promote business growth. .

The Bachelor of Data Analytics equips students with essential technical and analytical skills for success in the workforce. This course focuses on developing core competencies, including technical expertise, analytical acumen, organisational abilities, interpersonal skills, and effective communication. These skills are tailored to meet the demands of various organisational, scientific, and business contexts, preparing students for real-world challenges and opportunities in the field of data analytics. .

The Bachelor of Mathematics imparts skills in problem-solving, data analysis, mathematical modelling, and logic, applicable across various sectors and industries. This course enables students to use mathematical and statistical models for analysing information and predicting outcomes in fields like economics, finance, and medicine, aiding governments and businesses in decision-making. Students acquire quantitative, analytical abilities and a solid grounding in calculus, linear algebra, and mathematical analysis, developing comprehensive knowledge and application skills in mathematics for diverse fields and industries. .

The Bachelor of Data Science equips students with skills in data analytics, statistics, computer science, machine learning, programming, mathematics, and data handling, crucial for roles in business decision-making, corporate strategy, and government planning. The course enhances problem-solving abilities and teaches effective communication to both technical and non-technical audiences. It emphasises independent and team work, considering ethical and legal aspects. Students will learn to analyse and manage large data sets, using technologies like Python and R programming languages, and evaluate insights and solutions. .

The Bachelor of Computer Science (Data Science) offers a comprehensive exploration into the world of data analysis and interpretation. As data-driven decisions become pivotal in various industries, this course equips students with the essential skills to extract, process, and interpret large datasets. Emphasising both theoretical knowledge and practical application, students will delve into methodologies that transform raw data into actionable insights. This qualification paves the way for a future where students harness data to inform, innovate, and lead in their respective fields..

The Bachelor of Computer Science (Advanced Computer Science) offers students an in-depth understanding of cutting-edge computational techniques and technologies. This course delves into the core principles of computer science, fostering expertise in algorithm design, system development, and emerging technologies. With a blend of theoretical knowledge and practical application, graduates will be well-equipped to navigate and innovate in the rapidly evolving landscape of computer science, driving advancements in both industry and academia..

The Bachelor of Commerce (Data Analytics) offers a comprehensive exploration into the realms of modern machine learning and statistical science. This course encompasses advanced nonparametric statistical modelling, pattern recognition, and introduces students to coding and data infrastructure essentials. Notably, the curriculum ensures students not only understand theoretical concepts but can adeptly apply them. A hallmark of this degree is its focus on hands-on learning, where students work directly with authentic industry data, bridging the gap between academic theory and practical industry challenges..

The Bachelor of Information Technology (Data Science) focuses on imparting foundational principles and hands-on skills in data collection, management, and interpretation across diverse data forms. Students will gain expertise in extracting insights from vast and intricate data sets, encompassing both structured and unstructured data. The curriculum includes studies in database systems, data mining, document scrutiny, artificial intelligence, and machine learning, ensuring a well-rounded understanding of data science disciplines..

The Bachelor of Science (Honours) (Statistics) delves into the comprehensive study of probability and both theoretical and applied statistics. Statistics play a pivotal role across sciences and social sciences, facilitating informed decisions in uncertain scenarios. This course covers essential topics such as experimental design, sample surveys, and data analysis, equipping students with the expertise to apply statistical methods across diverse scientific domains..

The Bachelor of Science (Honours) (Mathematics) enables students with foundational mathematics knowledge to engage in independent research under expert supervision. Typically spanning two consecutive semesters, the course offers comprehensive research training, detailed exploration of contemporary topics, and culminates in a significant thesis project. This study equips students for potential PhD pathways or careers in sectors like finance, education, public service, and technology..

The Bachelor of Computer Science (Honours) is a one-year course providing in-depth knowledge of computer technology, aimed at preparing students for leadership roles. It develops skills in communication, critical judgment, and ethical understanding, fostering independent and creative thinking. The course covers both theoretical and practical computing aspects, preparing students for computing-related careers. It includes hands-on experience in designing efficient, industry-standard software and understanding the underlying hardware, equipping graduates with comprehensive computing expertise. .

The Bachelor of Mathematics (Honours) is crafted to enhance the mathematical and communication skills acquired during undergraduate studies. This course delves deeper into advanced mathematics, providing a foundation for a lucrative career across various industry sectors or in multidisciplinary and emerging research fields. Ideal for those seeking to deepen their expertise in mathematics, this degree prepares graduates for a wide range of professional and research opportunities. .

The Graduate Certificate in Data Analytics offers insights into basic data and database concepts, as well as advanced techniques for analysing large data volumes. This course introduces real-world applications achievable through a comprehensive understanding of available data. It is designed to provide a foundational grasp of data analytics, focusing on practical skills and knowledge applicable in various professional settings where data analysis plays a key role. .

The Graduate Diploma in Data Science is designed for professionals with a solid mathematical or quantitative background, aiming to enhance their technical skills for a career in data science. It provides an advanced understanding and skill set in data science, crucial for guiding strategic decision-making. The course covers detailed concepts such as data mining, machine learning, and data visualisation, equipping students with the necessary tools to excel in the rapidly evolving field of data science. .

The Master of Data Science (Professional) is an advanced course designed to equip students with comprehensive skills in data analysis, machine learning, and big data technologies. This course blends theoretical knowledge with practical applications, preparing students for the challenges of data-driven decision-making in various industries. Emphasising real-world relevance, it covers statistical methods, data management, and ethical considerations in data science. Ideal for aspiring data professionals, this course enables graduates to excel in the rapidly evolving field of data science. .

The Master of Data Science and Innovation is a globally recognised course in analytics and data science. It adopts a transdisciplinary approach, blending insights from various fields with industry experience, real-world projects, and self-directed study. This course equips students with the skills to harness analytics for transformative practices. The exponential growth of data in diverse industries underscores the increasing global demand for data science expertise, positioning graduates for success in this rapidly evolving field. .

The Master of Data Science equips students with the ability to apply analytical methodologies, effectively manage large data sets, grasp foundational statistical and machine-learning concepts, and evaluate and articulate the impact of new technologies. It delves into contemporary data management and analysis tools, including data collection, storage, visualisation, and internet-based applications. The course readies students for an international career amidst the global ascent of data science..