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Zuber Anwar

MSc
Zuber-Anwar-Student-Profile

Zuber's course has prepared him for a role at an International tech company.

Google

Zuber noticed the rapid growth in big data technologies in recent years and wanted to build upon his existing skills, as an experienced business analyst. He needed a course which would teach the skills he could take back and apply to real life commercial problems, and decided City's MSc Data Science would fit that template.

A good friend recommended City after completing her MSc there. I went to meet the Course Director and was impressed. City’s curriculum was one of the first in the field and by far the best – with a perfect balance between cutting edge technology and hands on practical application, and I enjoy that it’s a challenging and wide-ranging course.
Applying machine learning algorithms in one module, while you undertake visual data analytics in another later on the same day is immensely rewarding. This range of expertise means I can tailor solutions when helping organisations overcome their data challenges. The Principles of Data Science module taught us the full data science process including: formulating business needs; wrangling (preparing) the data; coding and applying analytical tools such a principal component analysis; and finally communicating the insights - visually or otherwise. I selected a large and complex financial dataset for project and really enjoyed applying the methods we’d learned.

Zuber's personal highlight of the course was running algorithms and using new technologies for the first time, and says it really gave him a 'buzz'.

When you code for all day and see your code produce useful insights, you suddenly get the energy to work for a few more hours!

Zuber is now going on to work with Google, putting in practice his experience developed on MSc Data Science.

Why did you choose to study at City, University of London?

I noticed the rapid growth in big data technologies in recent years and wanted to build upon his existing skills, as an experienced business analyst. City’s curriculum was one of the first in the field for Data Science and by far the best – with a perfect balance between cutting edge technology and hands on practical application

What do you enjoy most about your course?

I enjoy that it’s a challenging and wide-ranging course. Applying machine learning algorithms in one module, while you undertake visual data analytics in another later on the same day is immensely rewarding. This range of expertise means I can tailor solutions when helping organisations overcome their data challenges.

What has been your favourite module and why?

The Principles of Data Science module taught us the full data science process including: formulating business needs; wrangling (preparing) the data; coding and applying analytical tools such a principal component analysis; and finally communicating the insights - visually or otherwise. I selected a large and complex financial dataset for the project and really enjoyed applying the methods we’d learned.

What has been the highlight of your course so far?

Running algorithms and using new technologies for the first time, really gave me a buzz! When you code for all day and see your code produce useful insights, you suddenly get the energy to work for a few more hours!

Where was your internship and how was the experience?

Google. My team is amazing; the work is challenging and we work on cool things that actually matter.

What do you plan to do after you graduate?

I’m fortunate enough to have worked in banking, central government and now Google. I feel like the world is my oyster. I’ll decide nearer the time.

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City, University of London is an independent member institution of the University of London. Established by Royal Charter in 1836, the University of London consists of 18 independent member institutions with outstanding global reputations and several prestigious central academic bodies and activities.