MS in Data Science Programme at School of Professional Studies, Evanston, Program, Admission, Application, Syllabus

MS in Data Science Programme at School of Professional Studies:- The “MS in Data Science Programme” is an online Master’s degree programme offered by Great Learning in collaboration with Northwestern University School of Professional Studies.

It’s a fantastic opportunity to study from Northwestern University, which has been recognised among the top 10 American colleges by U.S. News & World Report 2020.


MS in Data Science Programme at School of Professional Studies

The “MS in Data Science Programme at School of Professional Studies” syllabus offers a thoughtful blending of popular programming frameworks, languages, and libraries in a hands-on actual setting, in addition to foundational data science theory courses. Candidates also have a Capstone project to display their talents in addition to curriculum understanding. The course has been carefully crafted by knowledgeable instructors with experience in the target sector.

Students enrolling in the “MS in Data Science Programme” have access to job boards, one-on-one career support coaching, a dedicated placement procedure, and other resources to help them land positions at their ideal businesses. The candidates may benefit from displaying this degree as it will provide them a competitive advantage over their counterparts when applying for jobs.

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MS in Data Science Programme at School of Professional Studies

MS in Data Science Programme at School of Professional Studies Details

Article Name MS in Data Science Programme at School of Professional Studies
Year 2023
Category Courses
Official site

Programme Offerings

  •  18 Months program
  •  Best Curriculum
  •  Capstone Project
  •  Alumni Status
  •  Career Mentorship
  •  Degree by Northwestern University
  •  Live Classroom

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Eligibility Criteria

Educational Qualification

  • Students must hold a four-year bachelor’s degree from an accredited U.S. university, or a degree of equal value.
  • Any student whose primary language of instruction is not English must take an English language proficiency test, such as the TOEFL or IELTS.

Degree qualifying details

  • Candidates must successfully complete the capstone project, complete all assignments, attend all online lectures, and pass all exams in order to be eligible to receive the certificate of completion for the course.

Step to Apply for Admission Details

The procedures listed below can be used by all applicants to be admitted to Northwestern University’s and Great Learning’s “MS in Data Science Programme at School of Professional Studies” degree programme:

  • First of all, visit the official website: Ms-data-science-programme, and apply online.
  • An admissions committee at Northwestern University will examine each application that is submitted.
  • Students that were chosen will be informed of their selection.
  • An admissions offer will be made to each chosen student.
  • Finally, they will need to pay the admission charge to reserve their seats.

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Application Details

All applicants must submit an online application and fill out a form in order to be considered for admission to the “MS in Data Science Programme” degree programme. Candidates will need to set up an account for an application form using their name, email address, and password. After completing this, they can log in with their login information and begin filling out the form.

The Syllabus

The “MS in Data Science Programme at School of Professional Studies” course is a compilation of foundational courses, a course on artificial intelligence, a course on analytics and modelling, a capstone project, and numerous tools.

Foundation Courses

  • Math for Data Scientists
  • Applied Statistics with R
  • Introduction to Data Science
  • Database Systems and Data Preparation
  • Practical Machine Learning
  • Decision Analytics
  • Business Leadership & Communications
  • Python for Data Science

Specialisation (Option 1): Analytics & Modeling

  • Data Modeling for Supervised Learning
  • Data Modeling for Unsupervised Learning
  • Time Series Analysis & Forecasting

Specialisation (Option 2): Artificial Intelligence

  • Computer Vision
  • Natural Language Processing
  • Artificial Intelligence & Deep Learning

Capstone Project

  • MS Degree from Northwestern University

Tools Covered

  • Python, R, SQL, Pandas

Master’s in Data Science

There is a demand for experts who can make data-driven decisions that advance their organisations as a result of the convergence of data science and business strategy. In Northwestern University’s online Master of Science in Data Science programme, students can develop the critical analysis and leadership abilities necessary for professions in today’s data-driven world.

Students enrolled in Northwestern University’s Master of Science in Data Science (MSDS) programme get knowledge on how to use relational, document, and graph database systems as well as analytics tools developed using open-source languages like R, Python, and Go, along with TensorFlow and Keras for deep learning. They develop their ability to generate reliable forecasts using both conventional statistics and machine learning techniques.

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Choose From A Range of Specializations And Electives

Analytics and Modelling, Analytics Management, Artificial Intelligence, Data Engineering, or Technology Entrepreneurship are the available five specialisations. Numerous elective courses, such as those in financial machine learning, artificial intelligence and deep learning, analytics systems engineering, and business process analytics, allow students to further tailor their education.

You can read more about which job might be perfect for you if you’re unsure about which specialisation is best for you.

Work In The Programming Language That Meets Your Needs

Python, R, and Go are the three languages available in the MSDS programme. These three languages are practised by students in the data science master’s programme, who can then focus their studies on one or more of them.

  • Currently, Python is the most widely used programming language in data science. It excels in deep learning platforms as a client and natural language processing.
  • Applied statisticians highly respect the analytics and modelling packages available in R. It is a great option for practical research and scientific programming.
  • A systems programming language called Go was created for the multi-processor computers of today. It is suitable for building scalable, high-performance data science systems.

Select The Pace That’s Right For You

You have two options for finishing your degree: a one-year expedited option that combines online and on-campus coursework, or 100% online part-time study.


  • Articulate analytics as a core strategy of data science
  • Transform data into actionable insights
  • Develop statistically sound and robust analytic solutions
  • Demonstrate leadership
  • Formulate and manage plans to address business issues
  • Evaluate constraints on the use of data
  • Assess data structure and data lifecycle

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Accelerated Full-time And Part-time Options

The MS in Data Science Programme at School of Professional Studies is available in accelerated full-time and part-time formats. Each format provides a selection of specialisations that let you design the course of study you need to achieve your professional objectives. You have two options for finishing your degree: the one-year expedited option or part-time, nonresidential study. Whatever you decide, you will receive education from knowledgeable, enthusiastic professors who are authorities in their subjects.

For the accelerated MSDS option, we encourage international students from all over the world to apply. International students are qualified to apply for and be granted a student visa if accepted to the expedited option.

More About The MS In Data Science

  • MS in Data Science Online Courses
  • Online Part-time Data Science Curriculum
  • Accelerated Data Science Curriculum
  • Master’s in Data Science Admission
  • Tuition and Financial Aid for Data Science
  • Registration Information for Data Science
  • Data Science Careers
  • Data Science Program Faculty
  • MSDS Student Leadership Council
  • Corporate Data Science Training

Tuition And Financial Aid For Data Science

The Master’s in Data Science programme at Northwestern has similar tuition to other nationally competitive online analytics programmes. The University of Northwestern offers students financial aid options. The website’s Tuition and Financial Aid for Data Science page has comprehensive information.

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Registration Information For Data Science

Awarded admission to the MS in Data Science Programme at School of Professional Studies already? To ensure optimal efficiency in your course of action, plan ahead and enrol as soon as you can.

Data Science Careers

Data scientists are establishing new areas of concentration to play crucial roles at different stages of the business cycle through modelling, engineering, and management as this interdisciplinary subject continues to develop. As a result, specialists in a variety of fields are in demand, including data analysis, mathematics, machine learning, object-oriented programming, computer science, and business management.

Data Science Program Faculty

Data scientists, professional researchers and consultants, social scientists, mathematicians, statisticians, and computer scientists are just a few of the MSDS faculty members who engage with students personally and bring real-world experience to the online classroom. The majority of faculty members have terminal doctorates and have had years of business and teaching experience. Visit the Faculty page for our Data Science Programme to learn more about the lecturers.

MSDS Student Leadership Council

The MSDS Student Leadership Council works to strengthen ties between students, alumni, and top business executives in order to increase knowledge of Data Science in practise and create a feeling of community within the programme.

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MS in Data Science Programme at School of Professional Studies FAQ’S

Is symbiosis good for msc data science?

It has a successful placement history. The faculty is made up of specially trained professionals with extensive industry experience and deep knowledge in their chosen fields of geoinformatics. It is adequate but not exceptional.

Is MS in data science worth it?

Data science master’s degrees unlock a host of professional benefits, including higher salaries, a faster path to leadership positions, and deeper insights into the theoretical and practical applications of the field.

Which is better MCA or MSC data science?

In summary, if you want to specialize in data science, then an M.Sc Data Science course is the better option for you. However, if you are interested in a more comprehensive program that covers both computer science and data analytics. Then MCA in Data Analytics may be the better choice.

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