Accelerate your career with an MS Programme from Northwestern University School of Professional Studies

One of the most sought-after and well-paid careers in the 21st century- Data Scientist!

The rise in data and the desire to obtain useful business insights from the data has led to a rise in the number of data science jobs. Many of the leading companies demand highly skilled and talented data science professionals who have the knowledge of fundamental concepts and are able to apply them to execute analytics projects.?

To help you to start your data science journey and prepare for the challenging data science jobs, ?Northwestern University School of Professional Studies has introduced an M.S. in Data Science Programme in collaboration with Great Learning. Northwestern University is one of the leading universities all around the world. It is ranked 9th among US universities (US News and World Report 2022) and ranked 24th in the Global University Ranking(The Times Higher Education World Ranking 2022). It has built its strong legacy with more than 160 years of educational excellence and has students from over 75 countries.?

The program will have online live sessions with experienced faculty along with two in-person learning sessions. The course will provide in-depth understanding of fundamental concepts of languages like R, Python and Tensorflow. The hands-on experience will help individuals to secure jobs in the best companies around the world.

Course Overview

Joining and successful completion of the course has many perks. Some of them include-

?Live online lectures delivered by the faculties of Northwestern University which will help them clarify their doubts hand-to-hand and boost their interpersonal skills.

?Master’s degree from one of the top-notch global university will help them boost their resume??

?Best-in-class faculty with years of industry experience.

?Committed student support to attend the queries of students

?Comprehensive career services and placement guidance

?Two in-person sessions to network and learn from them

?Industry-relevant tools and skills like R, Python, and Tensorflow

?Coursework in Artificial Intelligence

?Lifetime access to free learning events and library sources

Analysis of the curriculum

The first 12 months (4 terms each of 3 months) cover foundation courses, teaching theory related to data science while from term 5 onwards, students get an opportunity to perform industry-relevant coursework in Artificial Intelligence, along with a capstone project at the end of the program.

Term 1 focuses on developing mathematical fundamentals, such as linear algebra, statistics, probability, and calculus, as well as using the R programming language for performing statistical analysis, data visualization, and report generation for analytical use cases. The course covers the necessary topics to gain a solid understanding of the mathematics that underlies machine learning algorithms and data science models.

Term 2 introduces the Python programming language, which is extensively used by data scientists, as well as practical data science approaches, as well as organizational, implementation, and ethical issues.

Machine learning algorithms, database administration, and data preparation are covered in Term 3 with a focus on applications in large scale data analytics projects. The Kaggle competitions (around 10) conducted during the semester to help students think and apply the algorithms they've learned are the highlights of term 3. Additionally, throughout this period, the residency program provides an excellent opportunity to learn from and network with senior professionals.

The fundamentals of data management, such as data quality, integrity, usability, consistency, and security, are explored in Term 4, as well as a problem and project-based course that attempts to establish a contextual understanding of techniques beneficial for managerial decision support.

Terms 5 and 6 focus on industry-relevant Artificial Intelligence coursework, such as Natural Language Processing (NLP), computer vision, and deep learning, followed by a capstone project towards the end of the degree program.

The curriculum as a whole has the right combination of theory and application . The course is? comprehensive in scope and is well balanced by? Kaggle competitions (on real world datasets ) , hands-on projects and assignments . Meticulously curated curriculum is industry-relevant and caters to a wide range of audience who aspire to become Data Scientist , Machine Learning Engineer , AI Specialist , Data Science Advocate / Evangelist , Data Analyst and Business Analyst .The best part of the course is that the entire program is taught as Live sessions and not as pre-recorded sessions by world class faculty . Finally the curriculum covers both the widely used programming languages for Data Science - R and Python with good coverage of fundamentals to advanced aspects of programming .

To know more about these courses visit-? Masters in Data Science Degree | MS in Data Science Programme (mygreatlearning.com)

On-campus residencies :

Networking is a powerful tool which can help you land your dream job, make professional connections, and grow in your career. The best part of the program is the on campus residencies happening twice ( at the end of 3 rd and 5 th term ) which gives opportunities for networking both with faculty and other mid and senior level professionals from diverse backgrounds .The doors which networking? can open are bottomless whether it is collaborating on open source projects or teaming up for Kaggle competitions or Hackathons .

Diverse Student Profile

As it is well-known, diversity hiring isn’t just a policy one has to follow, but it is the culmination and integration of a wide spectrum of thought processes and ideas from different demographic backgrounds, which enables us as a whole and as an individual to unveil our full potential. This course will expose the candidates to a new set of perspectives which will help them broaden their outlook towards a problem and also provide equal opportunity to all the applicants.

Faculty

Top-notch faculties like Dr.Tom Miller (Faculty director of the DS programme at Northwestern University - Bio) , Dr.Abhinanda Sarkar ? (Academic Director at Great Learning for Data Science and Machine Learning Programs) , Dr.Srabashi Basu Dr.Srabashi Basu ( Professor , Business Analytics ) , Dr. D. Narayana (Professor , AI and ML) are imparting their knowledge in the areas of their expertise, so that the applicants can build a strong foundation of the concepts of data science and can crack complex real-life problems.

Career Opportunities

The course will escalate your career opportunities to a great extent as this course offers a career fair which provides an opportunity for the students to participate in recruitment drives with the best companies across the industry, organized every 3 months. Great Learning has over 1200 hiring partners and runs a dedicated process to place students with well-known domestic and global organizations.

GL Excelerate is a career assistance program designed with the aim to empower its learners and some of the highlights of the program are?

??1:1 career mentoring through live online sessions from industry experts through ”Career prep”

??Job Boards with job postings from more than 1200+ hiring partners

??Review of resume/LinkedIn profile? by top Data Science experts?

??Extensive collection of mock interview questions , sample resumes and interviews of top Data Scientists .

??Hackathons & Live Projects sponsored by top companies

Fees

The tuition for this degree is $13,000. While there is no scholarship, the tuition fees can be paid in 6 equal installments of $2,167 each (payable at the start of every term). Please note that apart from the tuition, students will also need to budget for the following expenses:

??A fee of $35 each for online proctored examinations (3 in total)

??The cost of traveling, boarding/lodging, and other expenses for the residency sessions will have to be borne by the students.

Admission Process

Conclusion

If someone is willing to build a career as a data scientist, studying in one of the best universities in the world and pursuing MS in data science from Northwestern University School of Professional Studies, will not only help them build an unparalleled skillset but also exposure to network with some of the best minds in the world in this field.??