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QS Rank:

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466

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University at Buffalo SUNY

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New York

United States

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Program Rank

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57

The Master of Science in Engineering Science (Data Science) program at the University at Buffalo SUNY is meticulously designed to equip students with the critical skills and knowledge necessary to excel in the evolving field of data science. This comprehensive program delves into the integration of engineering principles with advanced data analytics, enabling students to derive meaningful insights from large datasets. The curriculum is structured to provide not only theoretical knowledge but also hands-on experience, ensuring that graduates are well-prepared to tackle real-world challenges in various sectors.


The program spans a duration of 12 months and offers a rigorous curriculum that covers a broad spectrum of topics. Core courses include Data Mining, Machine Learning, and Statistical Analysis, alongside elective courses that allow students to specialize in areas such as Big Data Technologies, Data Visualization, and Computational Intelligence. The comprehensive nature of the program ensures that students are not only proficient in data manipulation and analysis but also skilled in applying these techniques to engineering problems.


One of the standout features of the program is the expertise of the faculty, who are renowned leaders in their respective fields. The faculty members employ innovative teaching methodologies, combining traditional lectures with interactive workshops and practical lab sessions. This hands-on approach enhances students’ learning experiences, fostering an environment that encourages creativity and critical thinking. Additionally, faculty members serve as mentors, guiding students through research projects that contribute to ongoing advancements in the field.


Research opportunities abound at the University at Buffalo SUNY, supported by state-of-the-art facilities and laboratories. Students have access to cutting-edge resources and technologies that facilitate groundbreaking research in data science applications. Collaborations with faculty on research projects often lead to publications, providing students with invaluable experience that can significantly enhance their career prospects. The university also encourages interdisciplinary research, allowing students to engage with other departments and areas of study, thereby broadening their expertise and enhancing their educational experience.


The program fosters strong connections with industry leaders, presenting students with numerous internship opportunities. The university’s emphasis on practical experience ensures that students can apply their knowledge in real-world settings, with many securing internships at prestigious organizations. These industry connections not only provide students with essential networking opportunities but also often lead to job placements upon graduation. Graduates of the program are well-equipped for a myriad of career pathways, including roles such as Data Engineer, Data Scientist, Clinical Data Analyst, and more, each boasting competitive salaries in the range of $100,000 to $110,000 annually.


The alumni network of the University at Buffalo SUNY is a testament to the program's effectiveness, with many graduates achieving remarkable success in their careers. Testimonials from alumni highlight the transformative impact of the program, emphasizing how the rigorous training and robust support system prepared them for the challenges of the data science field. Many alumni have taken on leadership roles in top-tier organizations, further solidifying the program’s reputation for producing highly capable professionals.


Why Study Engineering Science (Data Science) at University at Buffalo SUNY

  • A popular choice for international students, fostering a diverse community that enhances learning experiences.
  • Learn from distinguished faculty members who are leaders in data science and engineering.
  • Access to advanced laboratories and resources that support innovative research projects.
  • Robust placement programs and strong industry connections leading to high job placement rates.
  • A curriculum designed to keep pace with industry trends, ensuring relevance and applicability of skills.

In terms of prerequisites, applicants to the program must hold a bachelor’s degree with a minimum GPA of 3.0 and have completed at least 16 years of education. International candidates are required to demonstrate proficiency in English, with IELTS scores of at least 6.5 being mandatory. Other accepted tests include PTE and TOEFL, providing flexibility for non-native speakers.


Application requirements include a detailed transcript, a statement of purpose, a resume, and letters of recommendation from both academic and professional references. The application fee is set at $100, and prospective students should apply before the deadlines of October 1st for Spring intake and February 15th for Fall intake.


In conclusion, the Master of Science in Engineering Science (Data Science) at the University at Buffalo SUNY is a premier program offering a comprehensive education in data science with a strong engineering foundation. With its cutting-edge curriculum, expert faculty, and robust career support, this program is an excellent choice for students eager to make a significant impact in the field of data science and beyond.


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Total Tuition Fees

$30,000

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Duration

12 Months

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Median Salary

$1,10,000

Ranking

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#286

US World and News Report

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#251

The World University Rankings

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#466

QS World University Rankings

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Intake

Spring ( Apr - June )

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

25

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Average Age

26

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Average Work Experience

2 Years

Diversity

New York:

35%

Florida:

5%

California:

15%

Illinois:

4%

Others:

21%

Texas:

10%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

73%

Prospective Job Roles

Data Engineer

Data Visualization Specialist

Clinical Data Analyst

Healthcare Data Analyst

Vital Statistics Data Analyst

Database Administrator

Geospatial Data Scientist

Data Scientist

Big Data Engineer

Data Architect

Geospatial Data Analyst

Data analyst

Top recruiters

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Eligibility Criteria

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At least 3 / 3 undergraduate GPA is expected.

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At least 16 years of bachelor degree.

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    55

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  • TOEFL

    79

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 100

  • intake

    Transcript

  • intake

    Passport

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    Statement of Purpose

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    Resume

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    IELTS

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    Academic LOR

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    Professional LOR

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    DUOLINGO

Application Deadlines

Standard Deadline
SpringOct 1, 2024
FallFeb 15, 2025

Fees and Funding

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Tuition Fees

$30,000 / year

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Overall Cost

$45,000 / year

FAQs

  • 6.5

  • No, however, there are internship and research opportunities.

  • The program is 30 credit hours or 10 courses. It is cohort based so students will take courses in the same sequence – there is no straying from the schedule for the first two semesters. Students interested in pursuing the program on a part-time basis should consult the graduate coordinator to come up with an individualized schedule.

  • Yes - students can transfer up to 6 graduate-level credits. Students must have earned a “B” or higher in previous coursework, and they courses must be equivalent to coursework in the curriculum in order for the courses to be deemed transferrable. If students are interested in seeing if coursework can be transferred they should send a transcript and course syllabus to [email protected].

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