Eligibility Criteria and requirement

umass dartmouth ms in data science

The UMass Dartmouth MS in Data Science program is tailored for individuals who aspire to delve into the intricacies of data analysis, interpretation, and application. Our rigorous curriculum is designed to equip students with the necessary skills to thrive in the rapidly evolving field of data science.

Eligibility Criteria Requirements
Educational Background Prospective applicants should possess a bachelor's degree from an accredited institution. 
Statement of Purpose As part of the application process, candidates are required to submit a statement of purpose. This document offers you the opportunity to articulate your motivations for pursuing the UMass Dartmouth MS in Data Science program.
Letters of Recommendation We request applicants to submit letters of recommendation that provide insights into their academic or professional capabilities. 
Relevant Test Scores While not mandatory, standardized test scores such as the GRE or GMAT can provide additional context to your application. 

3/4

Bachelor's GPA Requirement

Any degree

UG Requirement

min 0 years (no max limit)

Work Experience Required

Test Scores Requirement

ExamRequirement
297
6
72
75

Program Eligibility URL:https://www.umassd.edu/programs/data-science-ms/

About University of Massachusetts Dartmouth

The University of Massachusetts Dartmouth (UMass Dartmouth) is a renowned public research university located in Dartmouth, Massachusetts. With a diverse and inclusive community, UMass Dartmouth offers a wide range of undergraduate and graduate programs across various disciplines. The university is committed to providing students with exceptional education, research opportunities, and a vibrant campus experience to prepare them for successful careers and meaningful contributions to society.

Massachusetts Dartmouth MSc in Data Science Program Description

umass dartmouth ms in data science

Earning a umass dartmouth ms in data science can help one achieve a broad skill set that can be applied to numerous tech-related careers, such as data engineering, data architecture, computer programming, etc. As a student in the umass dartmouth ms in data science, one can expect to dive into essential concepts in the mentioned areas:

  • Applied Statistics
  • Database Systems and Data Preparation
  • Practical Machine Learning

Program URL:https://www.umassd.edu/programs/data-science-ms/

Curriculum Overview

Program Curriculum URL:https://www.umassd.edu/data-science/graduate/requirements-ms/


Choosing electives is an exciting part of the academic journey at the University of Massachusetts Dartmouth. Elective courses allow students to explore their interests, broaden their knowledge base, and even specialize in specific areas within their major.

  • Data Science Thesis 
  • Math Modeling 
  • Mathematical and Computational Consulting 
  • Simulations 
  • Numerical Linear Algebra 
  • Numerical Optimization 
  • Independent Study 
  • Artificial Intelligence 
  • Data Mining and Knowledge Discovery 
  •   Human and Computer Interaction (4 credits)
  •   Computer Graphics 
  •   Bioinformatics 
  •   Image Analysis and Processing 
  •   Machine Learning 
  •  Algorithms & Complexity 
  •  Advanced Machine Learning 
  •  Advanced Computer Graphics 
  •   Advanced Bioinformatics 
  •  Gamification Design 
  •  Artificial Intelligence 
  •  Multi-Agent Systems 
  •  Visual Analytics 
  •   Design and Verification of Information Systems 
  •   Image Processing and Machine Vision 
  •   Independent Study 
  •   Pattern Analysis 
  •  Human-Computer Interaction  Computer Vision 

Electives

Choosing electives is an exciting part of the academic journey at the University of Massachusetts Dartmouth. Elective courses allow students to explore their interests, broaden their knowledge base, and even specialize in specific areas within their major.

  • Data Science Thesis 
  • Math Modeling 
  • Mathematical and Computational Consulting 
  • Simulations 
  • Numerical Linear Algebra 
  • Numerical Optimization 
  • Independent Study 
  • Artificial Intelligence 
  • Data Mining and Knowledge Discovery 
  •   Human and Computer Interaction (4 credits)
  •   Computer Graphics 
  •   Bioinformatics 
  •   Image Analysis and Processing 
  •   Machine Learning 
  •  Algorithms & Complexity 
  •  Advanced Machine Learning 
  •  Advanced Computer Graphics 
  •   Advanced Bioinformatics 
  •  Gamification Design 
  •  Artificial Intelligence 
  •  Multi-Agent Systems 
  •  Visual Analytics 
  •   Design and Verification of Information Systems 
  •   Image Processing and Machine Vision 
  •   Independent Study 
  •   Pattern Analysis 
  •  Human-Computer Interaction  Computer Vision 

Core courses at the University of Massachusetts Dartmouth provide a solid foundation for students across various academic disciplines. These essential courses are designed to develop critical thinking, analytical skills, communication abilities, and a broad understanding of fundamental concepts. Here are some of the core courses offered at UMass Dartmouth:

  • Mathematical Statistics
  • Database Design
  • Computational Methods
  • Data Visualization Workshop 
  • Advanced-Data Mining 
  • Master's Project
  • Data Science Thesis

UMass Dartmouth offers a variety of Master's degree programs across various departments. Some of the programs available include:

  • Computer Science MS
  • Data Science MS
  • Mechanical Engineering MS

Some of the coolest clubs at UMass Dartmouth include -

  • 20 Cent Fiction
  • All Hands United (AHU)
  • Asian Student Association
  • Beta Alpha Psi
  • Chinese Club
  • Collegiate DECA
  • Dance Company
  • Gaming Society
  • Investment Club
  • The Frederick Douglass Unity House( cultural center)
  • The IDEA Club 

UMass Dartmouth has a comprehensive list of student organizations on its website. Students can browse and join organizations, attend events, and showcase their involvement in the university by participating in these organisations.

Program Fee & related expenses

umass dartmouth ms in data science

In order to obtain the Form I-20, you are required to provide documentation demonstrating adequate financial backing to cover the anticipated expenses for one academic year at UMass Dartmouth. For the Fall 2023 semester, proof of funds totaling at least $41,129 in US dollars is necessary ($26,084 for tuition and fees; $12,310 for living expenses; and $2,735 for health insurance) (subject to change). Upon issuance of the Form I-20, it will be utilized to apply for the F-1 visa at a US embassy or consulate either in your home country or a nearby location.

Expense Type Cost
Tuition Fees $26,084
Living Expenses $12,310
Health Insurance $2,735
Transcript Fee $100

Application Documents for Massachusetts Dartmouth MSc in Data Science

Mandatory Application Documents

  • Passport

  • 10th Marksheet

  • 12th Marksheet

  • College Transcript

  • Semester Marksheets

  • Consolidated Marksheets

  • Graduation/Provisional Certificate

  • Backlog/No Backlog Certificate

  • IELTS/TOEFL/DTE/PTE

    Massachusetts Dartmouth MSc in Data Science Deadlines

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    Employment, Salary & Career Statistics

    103,331

    Average Starting Salary

    Massachusetts Dartmouth MSc in Data Science Employment Statistics

    The University of Massachusetts Dartmouth boasts an impressive employment rate of 82%, showcasing its commitment to preparing students for successful careers in their chosen fields. This statistic reflects the university's strong academic programs, industry partnerships, and career development initiatives that equip graduates with the skills and knowledge needed to thrive in the job market.

    Companies Recruiting Massachusetts Dartmouth MSc in Data Science Graduates

    Some of the well-known and top employers hiring UMassD graduates for MS in DS in USA jobs include-

    • Amazon
    • Goldman Sachs
    • Battle-Fin 

    Employment Overview URL: https://studyabroad.shiksha.com/usa/universities/university-of-massachusetts-dartmouth/placement

    Massachusetts Dartmouth MSc in Data Science Alumni Info

    Some notable alumni’s from the field of University of Massachusetts Dartmouth MSc in Data Science are:

    • Taha Amer
    • Christopher Johanson
    • Ben Pfeffer
    • Pranav Vinod

    Letter of Recommendation for Massachusetts Dartmouth MSc in Data Science

    A letter of recommendation is a document written by someone who knows you well academically or professionally and can attest to your abilities, skills, character, and potential. Typically, these letters are written by professors, supervisors, mentors, or other individuals who have observed your performance and can provide insights into your strengths and achievements.

    For admission into the University of Massachusetts Dartmouth (UMass Dartmouth) MS in Data Science program, letters of recommendation are of significant importance. They provide an objective assessment of your capabilities, work ethic, and potential for success in the program. Admissions committees often rely on these letters to gain valuable perspectives on applicants and to gauge how well they might contribute to the academic community.

    Here are some tips for getting a good letter of recommendation for  MS in Data Science program:

    1. Choose the Right Recommenders: Select recommenders who know you well and can provide specific examples of your academic or professional achievements, particularly those related to data science or analytical fields. 
    2. Establish a Connection: Before requesting a letter of recommendation, take the time to connect or reconnect with your potential recommender. It could be through an email, phone call, or a personal meeting. Briefly remind them about the work you have done together and express your interest in pursuing the UMass Dartmouth ms in data science.
    3. Provide Relevant Information: When asking for a letter of recommendation, provide your recommender with relevant information about the program and your goals. Share your Statement of Purpose and resume, so they can tailor the letter to align with your aspirations and demonstrate how your skills match the program's requirements.
    4. Give Ample Time: Request the letter well in advance of the application deadline to give your recommender sufficient time to write a thoughtful and well-crafted letter. Avoid last-minute requests, as they may compromise the quality of the letter.
    5. Remind About Key Accomplishments: If you have worked with the recommender in the past, remind them of specific projects, achievements, or coursework that you excelled in. This will help them write a more detailed and compelling letter, emphasizing your strengths and potential.
    6. Discuss Your Goals: During your interaction with the recommender, discuss your career aspirations and how the UMass Dartmouth ms in data science program aligns with your future plans. This will enable them to highlight your potential and motivation to pursue this specific field of study.
    0

    Statement of Purpose for Massachusetts Dartmouth MSc in Data Science

    umass dartmouth ms in data science

    A Statement of Purpose (SOP) is a crucial document required during the university admission process for UMass Dartmouth ms in data science. It is a personalized essay that applicants write to demonstrate their motivations, academic background, career goals, and reasons for applying to a particular program or institution.

    The SOP allows the admissions committee to gain insights into the applicant's personality, aspirations, and potential to succeed in the chosen field of study. For the UMass Dartmouth ms in data science, a compelling SOP plays a significant role in distinguishing applicants and increasing their chances of being admitted.

    Here are some tips for writing a compelling SOP for MS in Data Science program:

    1. Research the Program:

    Begin by thoroughly researching UMass Dartmouth's MS in Data Science program. Understand its curriculum, specializations, faculty, research opportunities, and any unique features that set it apart. Mention specific reasons why you are interested in this particular program and how it aligns with your academic and career goals.

    2. Introduce Yourself:

    Start with a strong and engaging introduction that highlights your background, educational qualifications, and any relevant experiences related to data science. Provide a brief overview of your journey and how you developed an interest in data science.

    3. Explain Your Motivation:

    Clearly articulate your motivation for pursuing UMass Dartmouth ms in data science. Describe what excites you about this field and how obtaining this degree will help you achieve your short-term and long-term career objectives. Be sincere and passionate in conveying your enthusiasm for data science.

    4. Highlight Relevant Experiences:

    Discuss any research projects, internships, work experiences, or academic achievements that demonstrate your interest and competency in data science. Focus on experiences that are directly related to the field or have enhanced your analytical and problem-solving skills.

    5. Address Any Gaps or Weaknesses:

    If you have any gaps in your academic record or any perceived weaknesses in your application, use the SOP to address and explain them positively. Emphasize how you have overcome challenges and how they have strengthened your determination to succeed in the program.

    6. Explain Why UMass Dartmouth:

    Convey your reasons for choosing UMass Dartmouth specifically. Discuss the university's reputation, facilities, faculty, or any other factors that appeal to you. Show that you have done your research and that UMass Dartmouth ms in data science is your top choice.

    Scholarships available for International Students

    The average annual cost of study, including tuition fees and living expenses is around USD$35,000 per year. However, this can rise dramatically as your day-to-day living expenses will vary depending on what state or city you live in.Below are some scholarships you can avail to reduce your study abroad expenses drastically.

    1. The Global Study Awards

      The Global Study Awards is a competition for successful IELTS test takers who have shown exceptional promise. You can enter the competition if you plan to use your IELTS results to apply for an undergraduate or postgraduate degree in an English-speaking country.

    2. Gary Saitowitz Scholarship

      Gary Saitowitz founded the Gary Saitowitz Scholarship with the objective of assisting one deserving student in reducing the stress and also the overall financial burden of costly higher education.

    3. Form Swift Scholarships Program

      The scholarship program is for driven, up-and-coming, entrepreneurs who are ready to commit to building a better world through their business ideas.

    What makes UMass Dartmouth MS in Data Science unique?

    umass dartmouth ms in data science

    The UMass Dartmouth ms in data science stands out for its comprehensive curriculum, blending advanced analytics with real-world applications. Students benefit from hands-on projects, cutting-edge research opportunities, and industry collaborations, ensuring a holistic understanding of data science.

    The UMass Dartmouth ms in data science distinguished faculty, state-of-the-art facilities, and focus on practical skills equip graduates to excel in the evolving data-driven landscape.

     

    Umass Dartmouth Contact Information

    Whom should I contact in case of any doubts?

    Telephone number: 508.999.8605

    E-mail: datascience@umassd.edu

    Address: 285 Old Westport Rd, North Dartmouth, MA 02747, USA

    Useful Links

    Photos & Videos of Massachusetts Dartmouth MSc in Data Science

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    Conclusion

    Applying to the UMass Dartmouth ms in data science could be a prudent choice for aspiring data scientists. With its potential interdisciplinary approach, hands-on learning opportunities, faculty expertise, industry connections, and focus on ethical data use, the program offers a comprehensive and unique learning experience. If seeking a well-rounded education with access to state-of-the-art facilities and collaborative research opportunities, UMass Dartmouth could be the ideal destination for pursuing a rewarding career in the dynamic field of data science.

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    Best 5 colleges in UK for MS data science or data analytics?

    Data Science is a rapidly growing field that has achieved vital importance in today's data-driven world. It has become a requirement for businesses to keep a close eye on the data churned out of their respective fields to grow their businesses. This, in turn, has increased the need for data scientists worldwide. Owing to its popularity, several universities in the UK have started teaching the subject. Some of the best universities for Data Science in the UK cater to students' demands by providing them with various comprehensive courses.

     

    1. Best Universities for Data Science
    2. University of Oxford
    3. King's College London
    4. University of Manchester
    5. University of Bristol

    Eligibility Criteria

    A minimum of a 2.1 honors degree (60-70% score) with computer science as a major subject
    IELTS score: Between 6.5-7.0 overall with no less than 6.0-6.5 in all components.

    Documents Required for the Admission Process. 

    • Academic transcripts as proof of your academic achievements
    • Explanation of English Proficiency scores
    • Proof of funds as evidence to pay for the tuition fees and monthly living costs for the first year
    • Resume
    • Two academic reference letters
    • SAT scores
    • ACT scores
    • Statement of Purpose (SOP) for studying in the UK.
    What are the career options for Data Science and Data Analytics differences?
    Well, they are not much different except that data analytics is a part of data science. You can consider them separate based on how significant data analytics is but the jobs and responsibilities all fall under data science. See, it is like a branch of the subject. Just like Mechanical and the Engineering itself.

    I think you would be more satisfied with knowing the basic difference between these two. Maybe you will find something you are looking for this way. So data science is basically finding meaningful correlations between large datasets. Here, it doesn't have to be any specific kind of result or relation. Like even if you find unwanted statistics from a database, it still falls under data science.


    On the other hand, data analytics is used to find specific information. For example, the goal can be finding correlations between different data or maybe just the average values. It basically means that you need data analytics to carry out set tasks and roles. It's a branch of data science that is focused on specific answers to data science questions.


    This must have given you an idea of how their career options differentiate. For example, a data scientist can work as a data analyst, and they will have a wider industry to play with. Whereas for a data analyst, the job roles are more specific. Like you will have directional areas to work with. Let me explain it in a different way. The main points you need to see for a data analyst career are:


    higher average salaries.
    fast-growing industry with skilled workers.
    nice career advancement options

    These are your career options as a data analyst. For data science, you will be free to join more sectors and work in different job roles. Any task and operation related to data fall under data scone. In a data science MS degree, your main concern will be your elective in your final year. They will decide which job you are going to join after graduation. For specifics, these are the points you need to know for a data science career:


    wider subjects to cover like Python, SQL, database etc.
    connected with many other sectors.
    one of the top subjects and professions in undeveloped countries.

    I hope this clears some of your doubts. The jobs in both areas can be the same given the job title. Data experts are very high in demand nowadays and the jobs in these fields are paid handsomely. If you are interested in any branch of data science, I suggest you start building a profile right now. Because most international students are targeting data science courses in universities abroad. Better to be safe than sorry.

    How much is the living cost in USA as a student?Also, which university is cheap and best for a data science degree?Can you suggest me universities with around $20-30k tuition?

    The USA is one of the top universities for earning an MS in data science. The USA is home to numerous institutions, including Ivy League schools, that strive to be the finest in the educational field. The best-known feature of an American institution is its multicultural and high-quality international student body. A postgraduate degree in data science takes between 12 and 24 months in the USA. The United States is among the top 3 nations for MS in Data Science programs and job opportunities.

    Top 10 universities in the US that you must consider studying in:

    1. Stanford University
    2. Columbia University
    3. Harvard University
    4. Yale University
    5. New York University
    6. University of Southern California
    7. Indiana University Bloomington
    8. University of Massachusetts Amherst
    9. Boston University
    10. University of Washington

    Salary and Job roles after MS in Data Science in the USA: 

    • Analytics Engineer ($111,480)
    • Business Analyst ($72,000)
    • Data Analyst ($73,372)
    • Data Scientist ($96,494)
    • Data Engineer ($116,591)
    • Statistician ($97990)
    • Data Visualisation Specialist ($76065)

    Data Science has established a niche for itself in many disciplines, be it the healthcare sector, retail marketing, or Life sciences, due to technological innovation and the wealth of data growing with each passing day in every field. Students throughout the world anticipate this course since it offers great employment chances. 


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