Eligibility Criteria and requirement

pace university ms in data science

The Pace University offers a renowned business analytics program altered to provide students with essential skills for success in this dynamic field. Some of the MS in DS in USA eligibility include - 

Requirement  Details
Degree UK First or Upper Second class honours degree (2:1, 60% average) required.
English Language Proficiency IELTS: 7.0
TOEFL: 100
PTE: 76
English language test validity Certain test results expire after two years and must be valid at the course start date.


Bachelor's GPA Requirement

Any Any Discipline degree

UG Requirement

Test Scores Requirement


Program Eligibility URL:https://www.pace.edu/admission-and-aid/graduate-admission/how-apply/masters-programs

Pace Master of Science in Data Science Class Profile

About Pace University

Pace University MS in Data Science offers transformative opportunities for students to excel in the data-driven world. Ranked among the top 9% of private US colleges for tuition investment returns, Pace's commitment to empowering diverse students sets it apart.

With six schools and cutting-edge centers, experiential learning, and prestigious programs in performing arts and environmental law, Pace prepares students to be future leaders.

Pace's three campuses - NYC, Westchester, and White Plains - offer diverse experiences. Experiential learning, including 8,900 internships, equips students with real-world skills. Within a year of graduation, Pace students boast an employment rate nearly 20% higher than the national average.

Pace Master of Science in Data Science Program Description

pace university ms in data science

Pace University MS in Data Science is a specialized program for aspiring data enthusiasts. It requires a background in computer science, mathematics, or statistics, and proficiency in calculus, linear algebra, programming, and database management.

Bridge courses are available for those lacking prior experience. The curriculum covers Python, R, TensorFlow, Spark, Hadoop, and MapReduce. Students gain statistical, mathematical, data visualization, and storytelling skills for exceptional data work.

Engaging faculty, cutting-edge resources, and experiential learning empower graduates to excel in the data-driven world.

Program URL:https://www.pace.edu/program/data-science-ms

Pace Master of Science in Data Science Program Curriculum

Program Curriculum URL:https://catalog.pace.edu/graduate/schools/seidenberg-school-computer-science-information-systems/graduate-degree-programs/masters-science-programs/data-science-ms/?_gl=1*19jnxtv*_ga*MTc1MDAwMjQxMC4xNjkwOTU4MzE1*_ga_YDJJKW26BD*MTY5MDk2NzgzNS4yLjEuMTY5MDk2OTE2OC4wLjAuMA..#curriculumtext

Choose three courses/9 credits with advising consultation
6 credits must be in Computer Science Courses

  • Database Management Systems
  • Python Programming


Choose three courses/9 credits with advising consultation
6 credits must be in Computer Science Courses

  • Database Management Systems
  • Python Programming
  • Mathematical Foundations of Analytics
  • Scalable Databases
  • Introduction to Data Science
  • Data Mining
  • Machine Learning
  • Algorithms for Data Science
  • Mathematical Foundations of Analytics
  • Data Science

Here are the names of business-related clubs relevant to Pace University of MS in Data Science,

Pace University's MS in Data Science program offers students a comprehensive academic experience, but the learning journey extends beyond the classroom. Engaging with clubs and associations tailored to data science not only enhances your educational experience but also fosters networking opportunities, skill development, and career advancement.

  • Beta Alpha PSI
  • Lubin Graduate Marketing Society
  • Lubin Women in Leadership
  • PACE Graduate Consulting Club
  • PACE Graduate Finance Club
  • Human Resources & Talent Management Club
  • PACE Toastmasters
  • Strategy & International Business Club
  • The Entertainment & Art Managers of PACE University (TEAM PACE)

Here are some Extra Activities that take place at Pace University,

  • Executive in Residence
  • Dean's Roundtable
  • Weekly Events

Program Fee & related expenses

The primary expense for the first year of the Pace University MS in Data Science is the tuition fee, which amounts to $44,700. This fee encompasses access to cutting-edge resources, a faculty of experts, and a comprehensive curriculum designed to equip you for a successful career in the field of data science.

Expense Cost Range
Tuition Fee $34,500
Food and Housing $18,500 to $23,000
NYC Campus $22,850
Westchester Campus $18,470
Insurance $2,220
Transportation $1,200
Total Fees $66,500 to $71,500

When considering your expenses, you'll need to account for food and housing costs, ranging from $18,500 to $23,000. If you opt for the New York City campus, the cost for living in the heart of the vibrant city is $22,850. Living in New York City offers an exhilarating experience, but it's important to note that the cost of living in this bustling metropolis is higher than the average. On the other hand, the Westchester campus provides a slightly more suburban environment with a lower cost of living, amounting to $18,470.

Ensuring your well-being during your academic journey, health insurance is a necessary consideration, costing $2,220. Pace University provides comprehensive health insurance coverage for students, ensuring access to medical facilities and services whenever needed.

Navigating a bustling city like New York requires transportation, which comes with a cost of $1,200. This encompasses expenses such as public transportation fares and other commuting costs, Taking into account all these expenses, the total fees for the first year of the program fall within the range of $66,500 to $71,500.

Application Documents for Pace Master of Science in Data Science

Application Fee :

To apply for the MS in Data Science program at Pace University, you will need to submit an application fee $70 . This fee is non-refundable and covers the administrative costs of processing your application.

All Official Transcripts:

You will be required to provide all official transcripts from your previous educational institutions. This includes undergraduate and, if applicable, graduate transcripts. Official transcripts are sealed and sent directly from your previous institutions to Pace University.

Two Letters of Recommendation:

As part of the application process, you will need to secure two letters of recommendation from individuals who can speak to your academic or professional abilities. These letters should come from professors, supervisors, or mentors who know you well and can provide insight into your skills and potential.


A detailed resume or curriculum vitae (CV) is essential for your application. It should include your educational background, work experience, relevant projects, publications, honors, and any other relevant information that showcases your qualifications for the MS in Data Science program.

Personal Statement:

The personal statement is a crucial component of your application. In this essay, you will have the opportunity to share your motivation for pursuing a master's degree in data science, your career goals, and how the program aligns with your aspirations

English-Language Proficiency Requirements:

For international applicants whose native language is not English, you will need to meet the English-language proficiency requirements. This can be demonstrated through standardized tests like TOEFL or IELTS. 

Preparing a strong and complete application package will significantly enhance your chances of gaining admission to Pace University's MS in Data Science program and embarking on a rewarding academic journey.

Mandatory Application Documents

  • Passport

  • 10th Marksheet

  • 12th Marksheet

  • College Transcript


  • GRE

    Program Application URL:https://www.pace.edu/apply-now

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    Employment, Salary & Career Statistics

    pace university ms in data science

    Pace University MS in Data Science offers diverse employment opportunities and a great Salary after Masters in Data Science in USA, including Data Scientist, Data Analyst, Data Engineer, Machine Learning Engineer, and Quantitative Analyst.

    Graduates enjoy a 94% employment rate within one year, securing positions with technology companies, financial institutions, healthcare organizations, and more.

    The program's comprehensive curriculum and practical focus ensure graduates are well-prepared for success in the data-driven world.


    Average Starting Salary

    Companies Recruiting Pace Master of Science in Data Science Graduates

    Pace University MS in Data Science program graduates are highly sought after in Jobs after MS in DS in USA, including:

    Technology  Financial Consulting
    Google JPMorgan Chase Accenture
    Microsoft Morgan Stanley Bain & Co.
    IBM Partners Group A.T. Kearney


    Letter of Recommendation for Pace Master of Science in Data Science

    pace university ms in data science

    A Letter of Recommendation (LOR) is a formal letter written by a person who knows you well academically, professionally, or personally. It serves as a testament to your skills, character, and potential as a student or professional.

    Letters of recommendation are an essential component of the application process for admission into universities like Pace University, as they provide insights into your abilities and qualities beyond what is reflected in your academic records and test scores.

    Importance of Letter of Recommendation for Admission into Pace University

    Letters of recommendation play a crucial role in the admission process at Pace University. They provide the admission committee with valuable insights into your strengths, achievements, and potential as a student.

    A well-crafted letter from someone who knows you well and can attest to your skills and character can significantly enhance your application and set you apart from other candidates.

    Tips for Getting a Good Letter of Recommendation:

    1. Choose someone who knows you well.
    2. Ask early and politely.
    3. Provide relevant information about the program.
    4. Be specific in your request.
    5. Offer supporting materials like your resume.
    6. Follow up and express gratitude.
    7. Be professional and respectful.
    8. Share your personal statement.
    9. Keep in touch with your recommender.
    10. Write a thank-you note after the process.

    By following these tips and cultivating strong relationships with your recommenders, you can secure well-crafted letters of recommendation that will significantly enhance your chances of admission to Pace University or any other institution you apply to.


    Statement of Purpose for Pace Master of Science in Data Science

    A Statement of Purpose (SOP) is a personal essay that aspiring graduate students write as part of their application for admission to universities or colleges. It provides applicants with the opportunity to showcase their motivation, academic background, career goals, and reasons for applying to a specific program.

    The Statement of Purpose holds significant importance for admission into Pace University's MS in Data Science program. It allows the university to evaluate applicants beyond their academic transcripts and test scores.

    The SOP enables applicants to demonstrate their passion for data science, their fit with the program, and their potential to contribute to the university's academic and research community. A compelling SOP can set applicants apart from other candidates and greatly influence the admission decision.

    Tips for Writing a Compelling SOP for Pace University MS in Data Science:

    1. Be genuine and show your passion for data science.
    2. Research the program and mention specific features that interest you.
    3. Clearly state your career goals and how the program aligns with them.
    4. Highlight relevant skills and experiences in programming and data analysis.
    5. Connect with faculty members whose work interests you.
    6. Explain why Pace University's program is the right fit for you.
    7. Keep the SOP concise, clear, and well-organized.
    8. Proofread and seek feedback to improve clarity.
    9. Maintain a positive and enthusiastic tone throughout.
    10. Showcase your readiness to contribute to the data science field.

    By following these tips and crafting a compelling and authentic Statement of Purpose, you can enhance your chances of being admitted to Pace University MS in Data Science program 

    Scholarships for International Students

    Masters in data Science in USA cost is a extremely determining factor for admissions, Pace University offers a range of scholarships, including Dean's, President's, Honors College, Transfer, and Graduate Scholarships. These scholarships recognize academic excellence and leadership qualities, making higher education accessible and affordable for deserving students.

    Why University of Cincinnati Stands Out: A Closer Look

    Pace University MS in Data Science stands out as a unique program for several reasons:

    Specialized Curriculum:

    Pace University MS in Data Science offers a focused and specialized curriculum tailored to meet the demands of the rapidly expanding data science field.

    Experiential Learning:

    The program emphasizes experiential learning, providing students with hands-on projects and industry collaborations for real-world application of data science principles.

    Bridge Courses for Diverse Backgrounds:

    Bridge courses in database management systems and Python enable students from diverse academic backgrounds to succeed in the program.

    Cutting-Edge Tools and Technologies:

    Students work with a variety of programming languages and tools, including Python, R, TensorFlow, Spark, Hadoop, and MapReduce, staying at the forefront of industry innovations.

    Faculty Expertise:

    Engaging and experienced faculty, who bring practical experience and academic rigor, ensure students receive a top-notch education and mentorship in the data science realm.

    What Pace values in Applicants?

    Pace University values several key attributes and qualities in applicants. Some of the qualities Pace University values in applicants include:

    • Academic Excellence: A strong academic record with demonstrated achievements is highly valued.
    • Diversity and Inclusion: Applicants from diverse backgrounds and experiences are welcomed and celebrated.
    • Leadership Potential: Applicants with leadership qualities and a drive to make a positive impact are highly regarded.
    • Passion and Motivation: A genuine passion for the chosen field of study and a clear sense of purpose are valued.
    • Community Engagement: Involvement in community service and a commitment to social responsibility are appreciated.

    In conclusion, Pace University values applicants who embody a combination of academic excellence, passion for learning, commitment to community, leadership potential, ethical values, diversity, and other qualities that contribute to the university's mission and enrich the learning experience for all students.

    Pace University Contact Information


    Should you apply to the Pace University MS in Data Science program? The answer is a resounding yes, especially if you're looking for a program that combines a robust curriculum, flexible eligibility criteria, a comprehensive application process, and a global perspective. Pace University's commitment to excellence in data science education makes it a compelling choice for aspiring data scientists.

    Ask a Question

    Have Queries about Pace University?

    Get Answers from Alums

    What is the difference between Columbia's MS in Data Science and Columbia's MS in CS with the machine learning track?

    First of all, Columbia's MS in Data Science and Computer Science are both excellent programs. But I do want to suggest you know it with some elements. You see, even with MS computer science with the machine learning track, it offers way too many options. So, you can choose from numerous courses under the MS computer science with machine learning. Whereas MS in data science is more of statistics and analytics. In a way you kind of stick with it, which by the way is not a bad thing.

    This option delivers to more individuals who are interested in the field. You may not know how many students change their career paths while in their masters. In this case MS in CS with a machine learning track is far more viable.

    Now, this may seem a bit technical, but important if you want to figure out the difference. The MS in data science does consist of computer systems and operations, machine learning etc. But it's far more directional. The course options for MS in data science will be more focused on data science principles. Of-course it goes for MS CS with machine learning as well. However, MS CS machine learning track will offer a wider CS learning.

    As complicated as it seems, it's just a matter of limit on availability in both programs. You can either go for a rather more universal opinion or a directional one. Simple right? And if your career modules are already set, just go for the required elective options keeping the subject approach in mind.

    I want to become a data scientist...what should I choose in my masters...CS or data science?Or Can I do my masters in CS and become a data scientist ?I'm a CS major !?

    Data Science is an important aspect of many industries because it helps people understand big data and how it can be used effectively in businesses or organisations with the scope of communication and programming. Data science works with structured and unstructured data, which subject matter experts sort to form a product or explanatory analysis. Data Science has advanced technology and made it easier to connect and communicate. Masters in Data Science Course Eligibility:

    English Proficiency Test: IELTS or PTE or TOEFL
    Entrance Exam: GRE and GMAT (depends on the specific university)
    Bachelor’s degree from a relevant university
    Letter of Recommendation
    Over 90% of individuals working in this field pursue an MS in Data Science abroad because the career requires an explicit understanding of the methods, modules, and processes. The Masters of Data Science programme is popular among Indian students due to the broad scope of learning, growth, and career opportunities. The most common university programme is the MSc Data Science or MS Data Science. If you have any further questions just ask me.


    I have already done my masters in life science, but want to pursue an other masters related to management I would like to know the scope of doing double masters?

    There are numerous reasons to pursue a dual Master's degree program. Here are a few of the most important:

    Academic resources - You will access a wealth of scholarly resources through the universities in which you are enrolled.
    Employability - Having two Masters degrees may give you an advantage over other candidates in the job market, demonstrating that you have the skills required for success in a difficult environment.
    International perspective - Living and studying abroad can be an extremely rewarding experience, opening up new avenues and perspectives that would otherwise be missed. And having a global perspective will help you when you graduate and start looking for work.
    Language abilities - Even if the course is taught entirely in English, many foreign universities will provide language classes to double Masters students. Depending on the location, you could improve your existing language skills or learn a completely new one.
    Richer study opportunities - Because you'll be taking two courses at two (or more) universities, you'll gain a broader, more comprehensive understanding of your chosen subject. You'll be able to investigate and question the connections between the programs, which you can then use as a foundation for your dissertation.
    If you have any further questions, ask me.


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