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The University of Melbourne - UoM Speciality : Computer Science

programme: Data Science

4.0

Are you looking for a professionally organized programme that could help you improve your qualifications and get the job of your dreams? Which option should you choose to invest money wisely, and how can you know whether given courses are the right fit for you? Now, making a decision is easier than ever.

Which Data Science programme to choose?

Are you looking for effective ways to climb up the career ladder? If so, think about participating in Data Science programmes that can help you improve your qualifications, expand skills and prepare you for tackling job responsibilities.

We live in the times when it’s possible to learn and work while sitting comfortably in your armchair. It’s an ideal opportunity to pursue your dream career and get a well-paid job. Benefit from a wide range of available online and on-campus programmes and courses like Data Science. Now, you can get internationally recognized qualifications, even if you live in the other corner of the world, or work full-time.

Do you want to learn more about Data Science? Visit our blog and read: 

More about Data Science

2 Student Reviews

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  • Data Science
    Gurkirat
    Empowering Education at University of Melbourne

    University of Melbourne’s Data Science program delivers a transformative education in a rapidly evolving field. With a comprehensive curriculum, experienced faculty, and industry-focused approach, students gain both theoretical knowledge and practical skills. Collaborative projects, internships, and strong industry connections ensure real-world applicability. State-of-the-art facilities and a supportive environment further enhance the learning experience.

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    Programme: Data Science
    Degree: Master's
    Graduation: 2022
    Delivery Type: Blended
    Campus: Melbourne
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  • Data Science
    Ti Na
    Challenging but motivational

    I believe that stepping into the university life is tough, and it wasn’t the truth until my second semester in my first year. One of the biggest reason why it was not as difficult as it should be could be excused by 1) I worked extremely hard during my first semester, hence the first semester lacked challenges or 2) My first semester was an illusion. I have always defined myself with grades and my second semester gave me the courage to step out of my comfort zone, I am still very much insecure and constantly seeks academic validations, but the staffs are supportive and the environment created by the people surrounding me were nothing less than dreamy. It is tough and I do not expect it to get easier, but I was able to now grasp concepts I thought I never could and apply these skills. I am motivated to start my own project and I have learnt to reject the thoughts that I could never be able to handle so many things at once.

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    Programme: Data Science
    Degree: Bachelor's
    Graduation: 2024
    Delivery Type: Blended
    Campus: Melbourne
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