Data Analysis

Day in the life of an MS in Data Science student

Discover a Day in the Life of an MS Data Science Student: What to Expect

Colleges and Universities, Must Read, Student Section
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Discover a Day in the Life of an MS Data Science Student: What to Expect

A mix of excitement and anticipation, with a touch of uncertainty – that’s how you might be feeling now, right?

 

Are you wondering how you’ll cope with the new academic system, engage in class discussions, or strike the perfect balance between academics, social life, and self-care?

Day in the life of an MS in Data Science student

In this article, we aim to provide an immersive experience of a typical day in the life of a student pursuing an MS in Data Science in the US. 

We begin with the morning routine and take you through the day until it wraps up in the evening.

As you read ahead you will come across:

  • Morning Routine
  • Attending Classes and Lectures
  • Lunch Break and Socializing
  • Research and Study Sessions
  • Extracurricular Activities and Dinner

Are you ready to start the day in the life of a data science student?

Just so you can really imagine it, we’ll explain how students spend key moments of their days in some of USA’s famous MS in Data Science universities. These are:

  • Worcester Polytechnic Institute
  • College of Staten Island (City University of New York)
  • Ying Wu College of Computing
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Day in the Life of an MS Data Science Student

1. Morning Routine

  • Waking up and morning rituals:

Day in the life of a data science student is going to be busy with classes and projects. So starting the day with personal rituals like meditation helps to set a positive tone.

  • Exercise and self-care:

To maintain a healthy mind and body, engage in regular physical activities based on your interest. Many universities offer activities like fitness centers, yoga, running, swimming, or weightlifting.

  • Breakfast and preparing for the day:

Fuel your day with a nutritious breakfast, either from on-campus dining facilities or by preparing it at home. Don’t miss items like your laptop, charger, notebooks, and study materials.

Expert tips for a day in the life of a data science student:

Center for Well-Being at WPI

Source: CWB at WPI

2. Attending Classes and Lectures

  • Core subjects and electives:

The typical day for a data science student starts by attending classes. Focus on mastering core subjects and choosing electives that align with your interests and career goals.

  • Engaging with professors and classmates:

Actively participate in class discussions and connect with professors and peers. It will help you enhance your learning experience and build a strong academic network.

  • Utilizing campus resources:

Make the most of the resources available on campus, such as libraries, study spaces, and tutoring services, to excel in your studies and stay on track.

Expert tips for a day in the life of a data science student:

City University of New York

Source: City University of New York

3. Lunch Break and Socializing

  • Have lunch on campus:

Choose from a variety of healthy meal options available on campus to nourish your body and maintain energy levels throughout the day.

  • Connecting with fellow students:

Take the opportunity to engage with your peers during lunch breaks, fostering connections and building a supportive network of fellow data science students.

  • Sharing experiences and building a network:

Discuss your academic experiences, exchange ideas, and learn from your classmates’ diverse perspectives to enrich your understanding of the data science field.

Expert tips for a day in the life of a data science student:

The Goat’s Head at WPI

Source: The Goat’s Head, a new concept eatery at WPI

  • WPI’s dining services offer a diverse range of food options, including Starbucks, Pho U, and Paper Lantern, at The Goat’s Head in Founders Hall.
  • WPI also has a “ghost kitchen” concept, allowing for ultimate menu flexibility and convenient app-based mobile delivery service. 

4. Research and Study Sessions

  • Working with faculty and research groups:

Collaborate with faculty members and join research groups to get practical experience. It will help you learn more in detail about data science concepts and applications.

  • Attending additional lectures or workshops:

Participate in extra lectures and workshops to supplement your learning. It helps you stay updated on emerging trends, and broaden your knowledge of the data science domain.

  • Study groups and tutoring:

Join study groups or seek tutoring to improve your understanding of course material. It will help you clarify doubts, and improve your problem-solving skills in data science.

Expert tips for a day in the life of a data science student:

Academic Resources Center at WPI

Source: Academic Resources Center at WPI

  • Take advantage of CUNY’s tutoring services offered by the university’s academic support center. Seek tutoring services through the Academic Resource Center at WPI.
  • Attend the guest lecture series and workshops conducted by the universities. They will feature experts from academia and conduct industry discussions in data science.

5. Extracurricular Activities and Dinner

  • Volunteering and community involvement:

Participate in volunteering opportunities and community projects. This will enhance your personal growth, and gain valuable experience outside the classroom.

  • Sports and recreation:

Stay active and maintain a balanced lifestyle by engaging in sports and recreational activities. It is one of the best ways to stay physically fit and relieve stress.

  • Cultural and networking events:

Attend cultural and networking events to expand your horizons, and learn from diverse perspectives. You will also be able to grow connections that can benefit your personal and professional life.

  • Exploring off-campus dining options:

Discover off-campus dining options to enjoy diverse cuisines and experiences, giving you a well-deserved break from academic life.

Expert tips for a day in the life of a data science student:

Students volunteering at NJIT

Source: Students volunteering at NJIT

  • Participate in WPI’s networking events organized by the Center for Well-Being (CWB) like Tea Club and Cooking Club.
  • Get involved in NJIT’s sports and recreation offerings, such as intramural leagues, club sports, fitness classes, and access to the modern Wellness and Events Center
  • Join the volunteer opportunities listed by NJIT’s Office of Civic Engagement. They organize community service opportunities like Civic Chat and Celebrity Reads.
  • Choose CUNY’s off-campus dining options like Manhattan’s Koreatown, Flushing’s Chinatown in Queens, or the authentic Italian restaurants in the Bronx’s Little Italy for dinner.

As you can see, Data science student life highlights offer a well-rounded experience that goes beyond academics.

If you want to explore more, here is some further reading:

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MS in Data Science Admission Requirements: What Do Top US Universities Expect?

MS in Data Science Admission Requirements: What Do Top US Universities Expect?

Colleges and Universities, Must Read, Student Section, Study Abroad Requirements
CATEGORIES

MS in Data Science Admission Requirements: What Do Top US Universities Expect?

According to the U.S. News and World Report, here are some primary reasons why college applications in the US get rejected:

  • Fail to meet the academic requirements
  • Incomplete application
  • Choosing the wrong college/university
  • Errors in the application form
MS in Data Science Admission Requirements: What Do Top US Universities Expect?

If you’re interested in pursuing higher education, knowing how to apply for MS in Data Science in the US is crucial. Let’s show you how:

  1. Choose the college with a higher acceptance rate 
  2. Complete the application process in the right way

As you read ahead, you will see our shortlisted top universities and admission criteria for MS in Data Science in the US universities.

 

Sl. No

Name of the University

Acceptance Rate

1

City University of New York (CUNY)

94%

2

New Jersey Institute of Technology (NJIT)

69.1%

3

Worcester Polytechnic Institute (WPI)

60%

4

University of Maryland (UMD)

52%

5

Carnegie Mellon University (CMU)

14%

1. City University of New York (CUNY)

City University of New York (CUNY)

Source:

The CUNY Graduate Center offers an M.S. in Data Science, a 30 credits hour program. 

You can opt to do it either full-time or part-time. It’s intended to be completed within two years.

During the program, you’ll learn about Data Science Fundamentals, Data Analytics, and Data Applications.

CUNY MS in Data Science admission requirements:

GPA Requirements

Application Deadlines

Application Fees

Standardized Test Scores

3.0 or higher

November 1st  for spring enrollment

75 USD

GRE – 80th percentile


TOEFL iBT – 79


IELTS – 6.5

Application prerequisites for MS in Data Science in the US:

  • Must have the minimum TOEFL or IELTS score. 
  • You must have a minimum 80th percentile GRE score or similar program qualification. 
  • You need a bachelor’s degree (or equivalent) in computer science from an accredited college or university.
    • If you have a degree in STEM fields (mathematics, statistics, information science, information systems, or engineering), exceptional academic performance, required courses, programming prerequisites, and at least an 80th percentile quantitative score on the GRE, you will be eligible.
    • If you are a non-STEM degree student, the university is partnering with NYU Tandon Bridge Program. Attending this will help you to gain the required knowledge and skills to be eligible to apply for M.S. in Data Science program. 
  • You must have completed at least one course each in linear algebra, probability and statistics, and algorithms.
  • You should be fluent in Python, Java, or C++ programming.
  • You must have a minimum B grade point average in undergraduate or graduate coursework, demonstrating an aptitude for graduate study.

Admission documents for MS in Data Science in the US:

  • Submit two letters of recommendation from professional acquaintances.
  • Submit a statement of purpose. It should explain your career objectives, interests, and academic and professional background relevant to the degree program.
  • Submit the GRE score document if it is available. Or else prove your program qualification by submitting other relevant details.
  • Submit TOEFL or IELTS score documents.
  • Submit sample works (e.g., projects, websites, videos, programming code repositories, creative works) that showcase your professional knowledge related to the program(optional).
  • Submit the transcripts from each college or university you attended.
Apply Now

 

2. New Jersey Institute of Technology (NJIT)

New Jersey Institute of Technology (NJIT)

Source

To successfully complete the Master of Science in Data Science (MSDS) program at NJIT, you will need to finish 30 credits. 

You can choose any one of the options to complete this:

  • Courses (30 credits)
  • Courses (27 credits) + MS Project (3 credits)
  • Courses (24 credits) + MS Thesis (6 credits)

NJIT MS in Data Science admission requirements:

GPA Requirements

Application Deadlines

Application Fees

Standardized Test Scores

3.0 or higher

Before May 1st for fall enrollment.


Before November 15th for spring enrollment.

75 USD

GRE – Required (No specific cutoff mentioned).


TOEFL – 79


IELTS – 6.5


Duolingo – 120

Application prerequisites for MS in Data Science in the US:

  • You need a GPA score. If not, you must have graduated with a first-class. 
  • You must have a Bachelor’s degree in Data Science, Applied Statistics, Computer Science, or equivalent.
  • If you lack a computing background, you can enroll in one of the three associated Data Science Certificates programs(Data Mining, Data Visualization, or Big Data). After successfully completing the Certificate, you will be eligible to apply for the M.S. in DS program.
  • If you have an insufficient background in mathematics/statistics, you’ll be required to complete suitable bridge courses after the advisor’s review. 
  • You must have a GRE score. 
  • You also need to achieve a minimum score in TOEFL, IELTS, or Duolingo. 

Admission documents for MS in Data Science in the US:

  • You need to submit transcripts from all colleges and universities attended.
  • Submit your GPA score. If you do not have a GPA score, submit a transcript showing you graduated with a “first class” corresponding to a B average.
  • Submit TOEFL, IELTS, or Duolingo scores. 
  • Submit one letter of recommendation.

3. Worcester Polytechnic Institute (WPI)

Worcester Polytechnic Institute (WPI)

Source

If you’re interested in earning MS in Data Science from WPI, you’ll need to complete 30 credit hours. There are two options to complete the program. 

First, you can do it as a three-credit Graduate Qualifying Project (GQP). It involves working on a team project with an industry partner for real-world experience. Or you can finish it as a nine-credit M.S. thesis.

WPI MS in Data Science admission requirements:

GPA Requirements

Application Deadlines

Application Fees

Standardized Test Scores

3.5 or higher

Rolling.

 

Students who want funding must apply by October 1st for the spring batch. 

70 USD

GRE – Not required


TOEFL iBT – 84


TOEFL Essentials – 8.5


IELTS – 7 (minimum sub-score of 6.5)


Duolingo – 115

Application prerequisites for MS in Data Science in the US:

  • You need to have minimum GPA requirements.
  • You must have an eligible test score for TOEFL iBT, TOEFL Essentials, IELTS, or Duolingo.
  • To apply for MS in data science, you need a bachelor’s degree in mathematics, computer science, business, quantitative sciences, and engineering.
  • Your degree must have covered quantitative and computational topics such as data structures, programming, calculus, algorithms, linear algebra, and introductory statistics.

Admission documents for MS in Data Science in the US:

  • Submit three letters of recommendation from authorities eligible to comment on your qualification for pursuing graduate studies.
  • Submit transcripts of all the post-secondary colleges or universities.
  • Statement of Purpose
  • Submit official documents of TOEFL iBT, TOEFL Essentials, IELTS, or Duolingo scores.

 

4. University of Maryland (UMD)

University of Maryland (UMD)

Source

You can get a Master of Professional Studies(MPS) in Data Science and Analytics from the University of Maryland’s College of Computer, Mathematical, and Natural Sciences. 

This 30-credit program is for working professionals and takes less than two years to complete. The program ends with research methods and study design, but no thesis is involved in its course curriculum.

UMD MS in Data Science admission requirements:

GPA Requirements

Application Deadlines

Application Fees

Standardized Test Scores

3.0 or higher

March 10, 2023.


*The deadline for Fall enrollment is over.

75 USD

GRE – optional


TOEFL iBT – 80


IELTS – 7 

*Contact scienceacademy@umd.edu to know about the next enrollment.

Application prerequisites for MS in Data Science in the US:

  • Your degree must be equivalent to a four-year U.S. institution degree. 
  • You must have proficiency in programming languages.
  • You need a 3.0 GPA in undergraduate and graduate coursework. 
  • You must have a minimum score for TOEFL, IELTS, or PTE.
  • Having a GRE score will be an add-on.

Admission documents for MS in Data Science in the US:

  • You must submit official transcripts from all the colleges/universities you attended.
  • You must submit a Statement of Purpose. 
  • You must provide TOEFL/IELTS/PTE score. 
  • If you have a GRE score, submit it. 
  • Submit your CV/Resume. 
  • Provide your research/work experience description.
  • You need to submit previous coursework that proves your quantitative ability. This includes calculus II, linear algebra, statistics, etc.
  • You must also prove your proficiency in programming languages. This can be shown through previous programming coursework or substantial software development experience.

5. Carnegie Mellon University (CMU)

Carnegie Mellon University (CMU)

Source

CMU offers a Master of Computational Data Science program. All MCDS students must complete at least 144 units to graduate. 

You can earn this degree in two ways: 

  • Professional Preparation takes 16 months with a minimum of 48 units per semester, and you graduate in December.
  • Research Preparation takes 20 months with a minimum of 36 units per semester, and you graduate in May.

CMU MS in Data Science admission requirements:

GPA Requirements

Application Deadlines

Application Fees

Standardized Test Scores

3.0 or higher

Early Deadline November 29, 2023.



Final Deadline: December 13, 2023.

By the early deadline: 80 USD.



By final deadline: 100 USD

GRE – Required (No specific cutoff mentioned). 


TOEFL – 100


IELTS – 7.5


Duolingo – 120

Application prerequisites for MS in Data Science in the US:

  • The MCDS program is for students with a computer science, computer engineering, or related degree from a top-ranked university. 
  • You need to have a minimum TOEFL, IELTS, or DuoLingo test scores(TOEFL is preferred over the other two).
  • It’s highly recommended to have GRE scores.

Admission documents for MS in Data Science in the US:

  • You need to submit TOEFL, IELTS, or Duolingo scores.
  • It’s advised to provide GRE scores; if not, explain the reason briefly in your application.
  • Submit transcripts from all attended universities.
  • Submit your current resume outlining your research experience, education, work experience, and achievements like publications, scholarships, etc.
  • Prepare a statement of purpose in one or two pages describing your research interests, related experiences, and goals in pursuing a graduate degree at CMU.
  • Submit three letters of recommendation. At least two of the recommenders should be from your faculty/employers.
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Pursuing MS in Business Analytics in the USA? Follow these professors!

Pursuing MS in Business Analytics in the USA? Follow these professors!

Colleges and Universities, Must Read, Student Section
CATEGORIES

Pursuing MS in Business Analytics in the USA? Follow these professors!

The field of business analytics is constantly evolving. Staying up-to-date with the latest developments is crucial for students.

Pursuing MS in Business Analytics in the USA? Follow these professors!

While classroom study is important, following thought leaders in the field can help you stay abreast of emerging trends and best practices. 

Without further ado, these are some of the finest professors and researchers in the field of business analytics.

1. Dr. Nanda Kumar

Dr. Nanda Kumar is a Professor of Information Systems and Chair of the Paul H. Chook Department of Information Systems and Statistics at the Zicklin School of Business. 

He is also the academic director of the MS in Business Analytics program. 

His research interests include data science/analytics, IT strategy, technology policy, business analytics.

Dr. Nanda Kumar is a Professor of Information Systems and Chair of the Paul H. Chook Department of Information Systems and Statistics at the Zicklin School of Business.

source

Some information about his education, achievements, and publications are:

Education

  • BE in Electronics & Communication Engineering from College of Engineering, Guindy (CEG), Anna University, Madras, India
  • MBA in Business Administration from Narsee Monjee Institute of Management Studies, Bombay, India
  • PhD in Management Information Systems from Sauder School of Business, University of British Columbia, Canada

Achievements

  • Winner of a Teaching Excellence Award at Baruch College in 2009
  • Winner of the JAIS Paper of the Year award in the information systems field in 2010 for his article on social recommender systems

Publications

Some of his recent publications are:

  •  “The Impact of Social Media on Consumer Preferences: Evidence from a Natural Experiment.” 
  • “The Impact of Social Media on Consumer Preferences: Evidence from a Natural Experiment.” 

You can find more information about him on his faculty profile.

2. Dr. Renata Konrad

Dr. Renata Konrad is the Director of MS in Business Analytics program and Associate Professor of Operations and Industrial Engineering at WPI. She is also a Fulbright Scholar.

Her research focuses on the application of operations research to social justice issues and healthcare delivery to improve the quality, timeliness, and efficiency of operations.

Dr. Renata Konrad

Source 

Some information about her education, achievements, and publications are:

Education

  • B.A.Sc. and M.A.Sc. in Industrial Engineering from the University of Toronto
  • Ph.D. in Industrial Engineering from Purdue University

Achievements

Winner of the Romeo L. Moruzzi Young Faculty Award for Innovation in Undergraduate Education in 2018

Member of several governmental committees dealing with human trafficking, such as the U.S. Department of Transportation Advisory Committee on Human Trafficking 

Publications

Some of her recent publications are:

  • Select, Route and Schedule: Optimizing Community Paramedicine Service Delivery with Mandatory Visits and Patient Prioritization. Technical Report. Optimization Online.
  • Optimizing Placement of Residential Shelters for Human Trafficking Survivors. Socio-Economic Planning Sciences, Vol 70.
  • Overcoming Human Trafficking via Operations Research and Analytics: Opportunities for Methods, Models, and Applications. European Journal of Operational Research, Vol 259(2), pp. 733-745.

You can find more information about her on her faculty profile.

3. Dr. Jonathan Peters

Dr. Jonathan Peters is a Professor of Finance and Data Analytics in the Accounting and Finance Department in the Lucille and Jay Chazanoff School of Business at CSI CUNY. He teaches several courses of MS in Business Analytics program.

His research interests include mass transit financing, corporate and public sector performance metrics.

Dr. Jonathan Peters

Source 

Some information about his education, achievements, and publications are:

Education

  • AAS and BS from College of Staten Island
  • MA in Economics from Hunter College
  • PhD in Economics from CUNY Graduate School

Achievements

  • Expert and chair on panels at the National Academy of Sciences 
  • Member of the Trucking Research Committee at the Transportation Research Board

Publications

Some of his recent publications are:

  • For whom the CPI tolls: reporting of road pricing in the Consumer Expenditure Survey. Transportation Research Record: Journal of the Transportation Research Board, No. 2670. Fall 2017. 24-32.
  • The Impact of Road Pricing on Housing Prices: Preliminary Results from New York City. Journal of Public Transportation, Vol. 19(4), pp. 20-38.

You can find more information about him on his faculty profile.

4. Dr. Doug Lehmann

Dr. Doug Lehmann is an Associate Professor of Professional Practice and Director of MS in Business Analytics program at Miami Herbert Business School. 

His research interests include data science, machine learning, business analytics, and sports analytics.

Dr. Doug Lehmann is an Associate Professor of Professional Practice and Director of MS in Business Analytics program at Miami Herbert Business School.

Source 

Some information about his education, achievements, and publications are:

Education

  • PhD in Biostatistics from University of Michigan
  • MA in Economics and Statistics from University of Missouri-Columbia

Achievements

  • Recipient of several awards for teaching excellence at Miami Herbert Business School
  • Co-founder of PredictionStrike, a sports prediction platform 

Publications

Some of his recent publications are:

  • PredictionStrike: A Sports Prediction Platform. Journal of Sports Analytics, Vol. 6(4), pp. 255-264.
  • A Data Science Approach to Predicting NBA Player Salaries. Journal of Sports Analytics, Vol. 5(3), pp. 161-172.

You can find more information about him on his faculty profile.

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5. Dr. Blake LeBaron

Dr. Blake LeBaron is the Abram L. and Thelma Sachar Professor of International Economics and Director of MS in Business Analytics program at Brandeis International Business School.

Finance Prof. Blake LeBaron is director of the MSBA program.

His research interests include agent-based modeling, equity markets, finance/technical analysis.

Some information about his education, achievements, and publications are:

Education

  • PhD in Economics from University of Chicago
  • MA in Economics from University of Chicago
  • BS in Electrical Engineering from Rensselaer Polytechnic Institute

Achievements

  • Winner of the Mike Epstein Award from Market Technicians Educational Foundation in 2014
  • Recipient of a Sloan Fellowship from 1994 to 1996

Publications

Some of his recent publications are:

  • Agent-based models for economic policy design: Introduction to the special issue. Computational Economics , Vol. 55(3), pp. 685-702.
  • Heterogeneous expectations and the distributional properties of asset prices. Journal of Economic Interaction and Coordination , Vol. 14(3), pp. 511-535.

You can find more information about him on his faculty profile.

6. Dr. John Dickerson

Dr. John Dickerson is an Associate Professor of Computer Science and a member of the Maryland Center for Women in Computing at UMD. He also teaches the MS in Business Analytics program.

His research interests include machine learning and economic analysis.

Dr. John Dickerson Dr. John Dickerson is an Associate Professor of Computer Science and a member of the Maryland Center for Women in Computing at UMD

Source 

Some information about his education, achievements, and publications are:

Education

  • PhD in Computer Science from Carnegie Mellon University
  • BS in Computer Science from University of Maryland, College Park

Achievements

  • Recipient of an NSF CAREER award in 2019
  • Recipient of a Facebook Fellowship (2015–2017) and a Siebel Scholarship (class of 2016)

Publications

Some of his recent publications are:

  • Failure-aware kidney exchange. Artificial Intelligence, Vol. 267, pp. 132-152.
  • Using sentiment to detect bots on Twitter: Are humans more opinionated than bots? Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Sydney.

You can find more information about him on his faculty profile. 

In conclusion

You must remain up-to-date with thought leaders in the field. The professors mentioned in this article are the finest educators in business analytics. They have extensive experience and knowledge. 

Following their work and research can offer young graduates immense insights. 

Keep abreast of the latest developments and follow the work of top industry leaders, to excel in your career.

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Top Universities for MS in Business Analytics in USA: Rankings and Accolades

Top Universities for MS in Business Analytics in USA: Rankings and Accolades

Colleges and Universities, Must Read, Student Section
CATEGORIES

Top Universities for MS in Business Analytics in USA: Rankings and Accolades

“There are so many options for business Analytics programs in US universities, and I don’t know where to start.”

“How will the classes and faculty be?”

If this sounds like you, no worries! It is the overwhelming number of business analytics programs in US universities making you anxious.

Top Universities for MS in Business Analytics

No more clutter with SelectRight

As an expert in international higher education, SelectRight is here to help you. We have shortlisted the best ten universities for MS in business analytics in the USA. 

The ranking factors are based on the following:

  • Graduation and retention rate
  • Social mobility
  • Graduation rate performance
  • Faculty resources
  • Student selectivity
  • Financial resources
  • Average alumni giving rate
  • Graduate indebtedness

Here goes the list of universities:

Sl. No

Best Universities for MS in Business Analytics in the USA

Ranking based on the National University Category

Course Duration

1

Worcester Polytechnic Institute(WPI)

#67

33

2

Baruch College (City University of New York)

#14 in regional universities North

33 (without preliminary courses)

37(with preliminary courses)

3

College of Staten Island

#124 in regional universities North

15

4

Miami Herbert Business School

#55

30

5

Brandeis International Business School

#44

41

6

University of Maryland, College Park

#55

30

7

University of California, Davis

#38

48

8

McCombs School of Business(The University of Texas)

#38

36

9

Wisconsin School of Business (University of Wisconsin)

#38

33

10

Foster School of Business(University of Washington)

#55

46

1. Worcester Polytechnic Institute(WPI)

Worcester Polytechnic Institute(WPI)

Source 

WPI’s MSBA is a STEM-designated program, and the school is ranked 36 among the most innovative schools.

If you decide to pursue MSBA at WPI, you can do it part-time or full-time and complete the program in 2 years.

Reasons to choose the university:

    • You’ll have great access to your professors because of the 14:1 student-faculty ratio.
    • The MSBA program at WPI also focuses on project-based learning (PBL). It will help you gain valuable skills, empathy, confidence, and experience.
    • $71,811 average starting salary is offered for bachelor’s degree graduates.

2. Baruch College (City University of New York)

Baruch College (City University of New York)

Source

If you want to study in a highly reputable college that sets high standards for top-quality business education, then Baruch College could be the perfect choice.

Reasons to choose the university: 

    • College is accredited by the AACSB and ranked 62nd best business school.
    • You will have classes with fewer than 20 students, which means more personalized attention from the instructor.
    • The staff and peer mentors help through the Freshman Seminar program. It is a self-directed learning experience for new students to have a smooth transition.

3. College of Staten Island (City University of New York)

College of Staten Island (City University of New York)

Source

Are you an undergraduate in business and prefer a certificate program over universities offering MS in Business Analytics in the USA? 

Then, the AACSB-accredited College of Staten Island could be a good option for you. 

They offer a certificate program in Business Analytics of Large-Scale Data. The program teaches analytical research skills using large-scale databases.

Reasons to choose the university: 

    • CSI faculty members will share their experiences, engage you in academic thinking and research, give career advice, and connect you to the larger community.
    • You can take part in internships with major companies through the Center for Career and Professional Development.
    • You will be studying in one of the nation’s most environmentally conscious colleges (The Princeton Review).
Apply Now

4. Miami Herbert Business School(MHBS)

Miami Herbert Business School(MHBS)

Source

If you’re looking for a full-time MSBA program that will complete within a year, Miami University’s MSBA program is a good option for you. 

It’s a 30-credit hour program that is STEM and OPT-designated, making it one of the best universities for MS in business analytics in the USA.

Reasons to choose the university: 

    • The university ranking for MS in Business Analytics hosts seminars that exchange ideas. You can attend them to interact with faculty and peers from various academic departments.
    • You’ll learn from some of the best faculty members out there. They have helped the institution rank #25 globally for research productivity.
    • You can benefit from the program’s 100% graduation rate, which guarantees excellent job opportunities.

5. Brandeis International Business School(BIBS)

Brandeis International Business School(BIBS)

Source

BIBS, one of the universities for MS in business analytics in the USA, offers an MSBA program. You can complete it within 12 or 16 months, depending on whether you do it full time or part-time.

Reasons to choose the university: 

    • Upon graduating, you can expect a job within six months, as 95% of students in this program secure employment in that timeframe.
    • The college faculty includes researchers who are adjunct professors with real-world experience as successful entrepreneurs and strategists from big investment firms.
    • As students, you are encouraged to do a company internship, consulting project, or faculty-directed research at BIBS, one of the best universities for MS in business analytics in the USA.

6. University of Maryland, College Park

University of Maryland, College Park

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Are you looking for universities for MS in business analytics in the USA with a flexible schedule? 

The MSBA at the University of Maryland offers 30 credit hours of live and asynchronous coursework, so you can learn in a way that works for you.

Reasons to choose the university: 

    • You can finish your degree program in as little as 16 months. And if you’re worried about timing, you are free to start in the fall or spring semester, whichever suits you best. 
    • If you work with the college’s Office of Career Services (OCS), you can be one amongst the 89% of students who get internships and 79% of students who get full-time jobs.
    • You’ll be mentored by the top 2% of most-cited researchers whom multinational corporations and government agencies seek for consulting.

7. University of California, Davis

University of California, Davis

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If you’re considering universities for MS in business analytics in the USA, which is full-time, you can’t afford to miss the UC Davis MSBA, a 12- to 14-month program.

It’s also a STEM-designated program, which means it’s focused on science, technology, engineering, and mathematics. So, you’ll get a solid foundation in both business and analytics.

Reasons to choose the university: 

    • You will be pursuing the MS in Business Analytics program that has been ranked top 10 globally for “Value for the Money.”
    • You will have the opportunity to learn from the best faculty at a college that is globally ranked #2 for its faculty quality.
    • The new initiative by assistant Professor Ofelia Cuevas is about breaking down stigmas. It will help you feel included in a foreign country, regardless of your background or experiences.

 

8. McCombs School of Business(The University of Texas)

McCombs School of Business(The University of Texas)

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If you want to do an MSBA program that is less than one year, consider McCombs. 

It is one of the universities for MS in business analytics in the USA that offers a 10-month, full-time program which is STEM-eligible. 

Reasons to choose the university: 

    • You’ll have access to professors who are leaders in their respective industries and bring that expertise into the classroom, giving you real-world examples and insights for a future career.
    • You will be studying in a campus ranked #1 for Best Business School Campus Environment.
    • You can expect to receive one of the best classroom experiences as the school is ranking  #6 for Best Business School Classroom Experience.

9. Wisconsin School of Business (University of Wisconsin)

Wisconsin School of Business (University of Wisconsin)

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Wisconsin School of Business, one of the universities for MS in business analytics in the USA, has a 1-year MSBA program that can guide you to master the power of analytical tools in any business setting.

Reasons to choose the university: 

    • As a student, you will have the opportunity to study one of the top business analytics programs in the US, as the program is ranked #8 in the US.
    • If you choose this university, you’ll have the opportunity to study in the top 10 public universities in the US.
    • The college offers various opportunities for academic and professional growth, including networking events, seminars with guest speakers, and student-faculty research collaborations.

10. Foster School of Business(University of Washington)

Foster School of Business(University of Washington)

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If you want to do a cohort-based MSBA, consider the 12-month program offered by the UW Foster School of Business, one of the universities for MS in business analytics in the USA.

The STEM OPT eligible program starts in the summer quarter, and the classes will be during the evening and on weekends giving you the flexibility to do it part-time.

Reasons to choose the university: 

    • You can expect an average starting salary of $92k after graduating MSBS from Foster School of Business.
    • It is one of the top #5 Business Analytics program in the US. 
    • You’ll listen to important people in the business analytics community during the MSBA Leader Series. They will help you understand how what you learn in class applies to the real world.
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