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Updated in [May 25th, 2023]

This online course from FutureLearn is designed to help early career academic researchers develop the skills and knowledge they need to succeed in their field. It covers topics such as research design, data analysis, writing for publication, and career development. Participants will gain an understanding of the research process, learn how to effectively communicate their research, and develop strategies for career advancement. The course is suitable for those who are new to research, as well as those who are looking to further their knowledge and skills.

[Applications]
After completing this course, Early Career Academic Researchers can apply the knowledge and skills they have learned to their own research projects. They can use the strategies and techniques they have learned to develop their research skills and to create a successful research career. Additionally, they can use the resources provided in the course to stay up to date with the latest research trends and to network with other researchers.

[Career Paths]
1. Data Scientist: Data Scientists are responsible for analyzing large amounts of data and using it to develop insights and solutions to complex problems. They use a variety of tools and techniques to uncover patterns and trends in data, and then use this information to inform decisions and strategies. Data Scientists are in high demand, and the field is expected to continue to grow in the coming years.

2. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models and algorithms. They use a variety of techniques to build models that can accurately predict outcomes and automate processes. This field is rapidly growing, and Machine Learning Engineers are in high demand.

3. Artificial Intelligence Engineer: Artificial Intelligence Engineers are responsible for developing and deploying AI-based systems. They use a variety of techniques to build AI-based systems that can accurately predict outcomes and automate processes. This field is rapidly growing, and Artificial Intelligence Engineers are in high demand.

4. Research Scientist: Research Scientists are responsible for conducting research and developing new technologies. They use a variety of techniques to uncover new insights and develop new solutions to complex problems. This field is expected to continue to grow in the coming years, and Research Scientists are in high demand.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree is becoming increasingly popular as technology continues to evolve and become more integrated into our lives.

2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. This degree is becoming increasingly popular as businesses and organizations look to leverage data to gain insights and make better decisions.

3. Doctor of Philosophy in Artificial Intelligence: This degree path focuses on the development of artificial intelligence systems and their applications. It covers topics such as natural language processing, computer vision, and robotics. This degree is becoming increasingly popular as AI technology continues to advance and become more widely used.

4. Master of Business Administration in Business Analytics: This degree path focuses on the application of analytics to business decisions. It covers topics such as data mining, predictive analytics, and decision science. This degree is becoming increasingly popular as businesses look to leverage data to gain insights and make better decisions.