Eligibility Requirements for Steven College

Greetings, seekers of knowledge and data enthusiasts! Today, let’s go into into a critical aspect of your academic journey — the eligibility requirements for the esteemed Stevens Institute of Technology MS in Data Science program. With a spotlight on excellence and innovation, this program presents a world of opportunities, and understanding its prerequisites is your first step toward success.

Exploring the Eligibility Requirements for the Stevens Institute of Technology MS in DS Program

Eligibilty Requirements
Bachelor’s Degree This degree lays the groundwork for your specialized studies in data science, providing you with a solid educational foundation to build upon.
Proficiency in Mathematics and Programming The program expects candidates to showcase their aptitude in these areas.
Academic Achievement Your academic transcripts offer a glimpse into your scholastic journey, and they play a pivotal role in the admission process. 
Letters of Recommendation The program requests you to submit letters from professionals or educators who can vouch for your potential as a data scientist. These letters provide insights into your character, work ethic, and capacity to contribute to the program’s vibrant learning community.
Statement of Purpose The statement of purpose serves as your canvas to illustrate your aspirations, motivations, and why the Stevens Institute of Technology MS in DS program aligns with your goals.
Language Proficiency International applicants, whose primary language is not English, must demonstrate their proficiency through standardized language tests like TOEFL or IELTS. 

 

3/4

Bachelor's GPA Requirement

Any degree

UG Requirement

Test Scores Requirement

ExamRequirement

Program Eligibility URL:https://www.stevens.edu/program/data-science-masters

Graduates Class Profile

3

Avg. Bachelors GPA / Percentage

Class Profile URL: https://www.stevens.edu/admission-aid/graduate-admissions/application-deadlines

Stevens Institute Technology MSc Rankings

National University Ranking- US News & World Report 2021

83

World University Ranking- QS 2021

621

University Ranking- THE (Times Higher Education) 2021

501

About Stevens Institute of Technology

Greetings, seekers of knowledge and pioneers of data-driven discovery! Let’s embark on a virtual tour that unveils the essence of the educational powerhouse known as the Stevens Institute of Technology. Nestled in the heart of academic excellence and innovation, Stevens has earned its place as a premier institution for pursuing the Stevens Institute of technology MS in data science, offering an unparalleled blend of tradition, technology, and transformation.

Stevens Institute of Technology MS in Data Science: A Glimpse into an Institution of Innovation and Excellence

  • A Legacy of Innovation: Founded in 1870, Stevens Institute of Technology has a storied history of fostering innovation and exploration. From the early days of steam power to the digital age, the institution has evolved while staying true to its core mission: to equip students with the skills and knowledge needed to excel in an ever-changing world.
  • Cutting-Edge Facilities: Stevens Institute of Technology embraces technology as a means to enhance learning and research. State-of-the-art labs, cutting-edge research centers, and modern classrooms create an environment where students can immerse themselves in hands-on experiences that bridge theory and practice.
  • World-Class Faculty: The heartbeat of any educational institution is its faculty, and Stevens takes immense pride in its accomplished and diverse group of educators. These thought leaders are not only experts in their fields but also mentors who guide students on their academic journey. Their research, industry experience, and commitment to student success are what set the institution apart.
  • Industry Partnerships: Stevens Institute of Technology goes beyond traditional academia by forging strong connections with industry leaders. Collaborations, internships, and research partnerships provide students with real-world exposure and the chance to apply classroom knowledge to solve complex challenges.
  • Thriving Campus Life: Life at Stevens extends beyond the classroom. The campus buzzes with a vibrant community of students from diverse backgrounds, fostering cross-cultural interactions and lifelong friendships. Clubs, organizations, and events enrich the overall experience, ensuring that learning happens both inside and outside the lecture halls.
  • Location: The Gateway to Opportunities: Situated in Hoboken, New Jersey, Stevens Institute of Technology benefits from its proximity to the bustling metropolis of New York City. This strategic location opens doors to a wealth of internship and career opportunities, allowing students to interact with industry professionals and gain firsthand insights into the world of data science.

Stevens Institute Technology MSc in Data Science Program Description

This Data Science interdisciplinary program at Stevens Institute of Technology prepares students for careers in fintech, business intelligence and analytics, academia, and database management, as well as government positions requiring strong skills in data analysis. 

The Stevens Advantage

  • Poised on the Hudson River, just 15 minutes away from downtown Manhattan, Stevens is located near the heart of one of the world's biggest technology hubs. 
  • Proximity to New York City offers Stevens students recruitment opportunities with some of the biggest names in business and technology, including Google, Amazon, Microsoft and Bloomberg.

Program URL:https://www.stevens.edu/program/data-science-masters

Core Courses & Curriculum

Program Curriculum URL:https://stevens.smartcatalogiq.com/en/2023-2024/academic-catalog/department-of-mathematical-sciences/graduate-programs/master-of-science-in-data-science/

  • Introduction to Programming, Data Structures, and Algorithms
  • Engineering Programming: Python

Electives

  • Introduction to Programming, Data Structures, and Algorithms
  • Engineering Programming: Python
  • Statistical Methods
  • Deep Learning
  • Advanced Optimization Methods
  • Dynamic Programming and Reinforcement Learning
  • Applied Machine Learning
  • Engineering Programming: Python
  • Fundamentals of Data Science
  • Data Acquisition and Management
  • Data Security
  • Business Applications

Greetings, fellow data enthusiasts and knowledge seekers! Today, we embark on a journey that unveils a vibrant facet of the Stevens Institute of Technology MS in DS program — its array of data science clubs and associations. Beyond the classroom, these communities serve as catalysts for collaboration, exploration, and the cultivation of lifelong connections.

Clubs and Associations at Stevens Institute of Technology MS in Data Science

  • A Hub of Exploration: Data Science Clubs: At Stevens, data science clubs provide a platform for students to dive deeper into their interests, engage in hands-on projects, and interact with peers who share their enthusiasm. From data analytics to machine learning, these clubs create an ecosystem where theories come to life and innovative ideas flourish.
  • Networking: Forging Connections that Count: The data science associations at Stevens Institute of Technology offer students opportunities to network with industry professionals, alumni, and fellow students. Engaging in panel discussions, workshops, and networking events opens doors to insights, mentorship, and potential career avenues.
  • Practical Application: Learning Beyond the Classroom: The associations and clubs affiliated with the Stevens Institute of Technology MS in Data Science program provide a bridge between classroom learning and real-world challenges. Collaborative projects, hackathons, and competitions sharpen skills and offer valuable experiences that go beyond textbooks.
  • Innovation and Leadership: A Springboard for Growth: Students can take on leadership roles, organize events, and shape the direction of these communities. The chance to drive initiatives fosters skills in leadership, organization, and project management — qualities that are highly prized in the professional world.

These activities serve as more than just pastimes; they are opportunities to further enrich your experience, build networks, and hone skills that extend beyond the classroom.

Exploring Extra Activities at Stevens Institute of Technology MS in Data Science

  • A Palette of Possibilities: The Stevens Institute of Technology MS in DS program offers a diverse range of extracurricular activities that cater to varied interests. From tech meetups to workshops, guest lectures to hackathons, these activities complement your academic journey by exposing you to emerging trends, fostering creativity, and nurturing a well-rounded skill set.
  • Enhancing Soft Skills: While data science is rooted in technical expertise, soft skills play a pivotal role in your success. Participation in extracurricular activities hones communication, teamwork, and problem-solving abilities — qualities that distinguish outstanding data scientists. 
  • Industry Insights: Extracurricular activities offer you the chance to interact with guest speakers, attend industry panels, and gain firsthand insights into the challenges and opportunities in the field of data science. These interactions not only enhance your understanding but also prepare you for the realities of the professional world.
  • Portfolio Building: Extracurricular activities provide opportunities to work on diverse projects that can be added to your portfolio, showcasing your skills, innovation, and commitment to continuous learning. Whether it’s contributing to open-source projects or participating in coding competitions, these experiences bolster your credentials.
  • Networking: Engaging with peers who share your interests can lead to lifelong connections that extend beyond graduation. Collaborating on projects, sharing insights, and learning from each other create a network of like-minded individuals who continue to support and inspire one another.

Stevens Institute Technology MSc in Data Science Acceptance Rate

The Acceptance rate of Stevens Institute of Technology MS in Data Science 46%.

Stevens Institute Technology MSc in Data Science Fee Structure

Fees Amount($)
Tuition and Fees $42,988
Loan Fees (for students offered federal student loans) $206
Housing and Meals (on campus residents only) $18,650
Books $1000
Miscellaneous $1050
Total Cost of Attendance $63894

The cost of attending Stevens Institute of technology MS in data science for a year amounts to $63,894. This comprehensive figure includes various components. The largest portion, tuition and fees, stands at $42,988, reflecting the core academic expenses. Students who opt for federal student loans will also need to consider loan fees, which total $206.

For those residing on-campus, housing and meals come to $18,650, covering the cost of accommodation and dining services. Additionally, students should budget $1,000 for books and $1,050 for miscellaneous expenses, encompassing various personal and academic needs. Altogether, these components make up the total cost of attendance, making it essential for students and families to plan their finances accordingly.

 

 

Application Documents Requirement

Mandatory Application Documents

  • Passport

  • 10th Marksheet

  • 12th Marksheet

  • College Transcript

  • Semester Marksheets

  • Consolidated Marksheets

  • Graduation/Provisional Certificate

  • IELTS/TOEFL/DTE/PTE

  • GMAT

  • GRE

    Stevens Institute Technology MSc in Data Science Deadlines

    Stevens Institute Technology MSc in Data Science Admission Process

    Greetings, prospective data scientists and knowledge seekers! Today, let’s delve into a pivotal chapter of your academic journey — the admission process for the Stevens Institute of Technology MS in DS program. As you embark on this endeavor, we’ll unravel the steps, requirements, and nuances that guide you towards becoming part of this dynamic and innovative community.

    Admission Process for the Stevens Institute of Technology MS in Data Science Program

    Exploration and Research Familiarize yourself with the curriculum, faculty, research opportunities, and the unique elements that set the program apart. 
    Application Submission Gather information of your academic documents. Begin by exploring the official website of the Stevens Institute of Technology MS in DS program. 
    Statement of Purpose and Essays Craft a compelling SOP that reflects your passion for data science, your academic and professional journey, and your aspirations within the field. 
    Letters of Recommendation Letters of recommendation provide insights into your character, abilities, and potential as a data scientist.
    Transcripts and Test Scores Ensure that you provide accurate and up-to-date transcripts that showcase your academic achievements. 
    Application Fee and Submission Complete your application by paying the required application fee and reviewing all the information you’ve provided. 

     

    Want to Score 8+ Band in IELTS?

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    Employment & Career Statistics

    The Masters In Data Science In USA develops in-demand knowledge and skills that helps the students for their career success in a variety of roles  like:

    • Data Scientist
    • Data Analyst
    • Data Engineer
    • Statistician
    • Network Engineer
    • AI Research Scientist
    • Data Analytics Specialist

    90,200

    Average Starting Salary

    Companies Recruiting Stevens Institute Technology MSc in Data Science Graduates

    • Amazon, Bank of America
    • New York University,
    • Cityblock Health
    • Disney Streaming Services
    • Two Sigma Investments
    • LLC.

    Stevens Institute Technology MSc in Data Science Alumni Info

    • Marques Brownlee
    • Frederick Winslow Taylor
    • William W. Destler
    • Greg Gianforte
    • Henry Gantt
    • David J. Farber
    • Igor Ansoff
    • Debajyoti Mukhopadhyay

    Letter of Recommendation for Stevens Institute Technology MSc in Data Science

    2 LOR free format

    A Letter of Recommendation (LOR) is a written endorsement provided by someone who is familiar with your academic, professional, or personal abilities. LORs play a significant role in the admission process for the Stevens Institute of Technology MS in DS program, offering insight into your character, skills, and potential contributions to the program.

    Tips for Getting a Good Letter of Recommendation for Stevens Institute of Technology MS in data science:

    • Choose Wisely:

             Select recommenders who know you well and can speak to your strengths. This could be a professor,           supervisor, mentor, or someone who has observed your academic or professional growth.

    • Build Relationships:

             Cultivate relationships with potential recommenders early on. Engage in class discussions, seek their             advice, and demonstrate your dedication to your field.

    • Provide Context:

             When requesting a recommendation, provide context about the program, your aspirations, and the               specific qualities you’d like them to highlight.

    • Share Relevant Information:

             Give recommenders your resume, statement of purpose, and any specific achievements or projects               you’d like them to mention.

    • Discuss Your Goals:

             Have a conversation with your recommenders about your career goals and how the program aligns               with them. This will help them write a more targeted LOR.

    Statement of Purpose for Stevens Institute Technology MSc in Data Science

    A statement of purpose

    A Statement of Purpose (SOP) is a crucial component of your application for admission into a graduate program like the Stevens Institute of Technology MS in DS. It’s a written essay that allows you to showcase your academic background, experiences, goals, and motivations. The SOP provides the admissions committee with insights into your personality, aspirations, and how well you align with the program’s values.

    Tips for Writing a Compelling SOP for Stevens Institute of Technology MS in Data Science:

    • Start Strong:

             Begin with an engaging opening that grabs the reader’s attention. This could be a personal anecdote,           a thought-provoking question, or a concise statement of your passion for data science.

    • Be Authentic:

             Your SOP should reflect your genuine aspirations and experiences. Avoid using clichés or copying                 from sample statements.

    • Show, Don’t Tell:

             Instead of simply stating qualities, provide examples that demonstrate them. For instance, instead of             saying you’re passionate about data science, narrate a project where your passion shone through.

    • Tailor Your SOP:

             Customize your SOP for the Stevens Institute MS in DS program. Mention specific courses, professors,           or resources that attract you to the program.

    • Highlight Your Fit:

             Discuss how your background, skills, and experiences align with the program’s values and goals.                   Show that you’ve researched the program thoroughly.

    • Address Gaps or Weaknesses:

            If you have any gaps in your academic history or weaker aspects of your application, briefly address              them in a positive light. Focus more on how you’ve overcome challenges.

    Scholarships for International Students

    • The Ann P. Neupauer Scholarship
    • The Edwin A. Stevens Scholarship
    • The Martha Bayard Stevens Scholarship
    • The Presidential Scholarship
    • The Clark Scholarship 
    • The ROTC Matching Scholarship
    • Global Scholarship

     

    What makes it unique?

    Greetings, curious minds and future data trailblazers! Today, let’s embark on a journey of discovery as we uncover the exceptional qualities that set the Stevens Institute of Technology MS in DS program apart from the rest. In the world of data science education, where innovation and advancement are paramount, Stevens stands as a beacon of uniqueness and distinction.

    Discovering the Excellence of Stevens Institute of Technology MS in Data Science Program

    Interdisciplinary Fusion

     At the core of the program’s uniqueness is its commitment to an interdisciplinary approach. Data science is not confined to a single domain, and neither is the curriculum at Stevens. 

    Practical Immersion

    The journey to becoming a proficient data scientist extends beyond theories and equations. What truly sets the Stevens Institute of Technology MS in Data Science program apart is its emphasis on practical immersion. 

    Cutting-Edge Research and Innovation

    Stevens Institute of Technology isn’t just a place of learning; it’s a hub of innovation. The program is deeply integrated with the institution’s research centers and initiatives, giving students the chance to collaborate on groundbreaking projects and contribute to the advancement of data science. 

    Industry Integration: From Classroom to Career

    The bridge between academia and industry is a vital one, and Stevens constructs this bridge with finesse. Industry partnerships, internships, and networking opportunities are woven into the program’s fabric. 

    Stevens Institute Technology Contact Information

    Whom should I contact in case of any doubts?

    • Phone: 1.888.511.1306
    • Email: Graduate@stevens.edu

    Useful Links

    Stevens Institute of Technology MS in DS

    Conclusion

    As we reach the culmination of this exploration into the world of data science education, the question that naturally arises is: Should you apply for the Stevens Institute of Technology MS in Data Science program? To arrive at a conclusive answer, let’s reflect on the journey we’ve undertaken and the possibilities that lie ahead.

    Should You Apply for the Stevens Institute of Technology MS in Data Science Program?

    • A Journey of Discovery: Throughout this journey, we’ve delved into the unique features, innovative curriculum, and vibrant community that define the program. We’ve explored the intersections of academia and industry, the practical applications of data science, and the avenues for personal and professional growth that the program offers.
    • An Investment in Excellence: Applying for the program isn’t just an application; it’s an investment in your future. It’s a declaration of your commitment to pursuing excellence in data science, of your desire to explore the intricacies of this dynamic field, and of your readiness to contribute to the global community of data-driven innovators.
    ‌

    Ask a Question

    Have Queries about Stevens Institute of Technology?

    Get Answers from Alums

    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
    Resume/CV
    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 want to do MS in data science in USA . The study must be finished around 20 lakhs . Could you suggest me any good Universities with high placement opportunities?

    Computer Science is the study of theory, engineering, experimentation that form the basis for the design and effectiveness of computers. It involves the study of algorithms and their application in the real world. Computer Science can be defined as the study of automating algorithmic processes that scale. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that is the basis of the acquisition, representation, processing, storage, communication of, and access to, information. The most important aspect of a Masters (MS) in Computer Science is problem-solving. Students study the design, development and analysis of software and hardware used to solve problems in a variety of business, scientific and social contexts.


    Pursuing data science courses opens various career avenues to students in USA and also in many other countries because a degree from the USA is recognised and demanded globally. Furthermore, data science in USA is a most sought-after program offering lucrative career options for the following reasons.

    Top Universities: The US universities are home of many well acclaimed universities for data science degree programs. Some US university ranking data science is on the Top 10, Top 50, and even on Top 100 globally in various ranking surveys. MIT, Harvard, and Stanford are some that have ranked in the Top 10 QS World University Rankings 2023.

    Scope: The scope for data science graduates in the USA are great, along with a lot of exposure. The US Bureau of Labour Statistics projects around 32% employment growth for a data scientist between 2020 to 2030. Also, during this period, it is expected that 19,800 jobs would open up in the decade.

    Better Payscale: US is among the top nations offering the highest pay for the data science professionals. The mean annual wage of a data scientist in USA is 108,660 USD which is around 52.24 USD per hour. The best paid 25 percent of the data scientists earn 130,370 USD per year, while the lowest paid 25 percent made around 71,790 USD. 

     

     

    Data Science students deal mainly with the data and spend a lot of time in the process of collecting, cleaning, and wrangling data. Few of the courses are listed below :

    Advanced Programming Techniques
    Data Acquisition / Management
    Computational Math
    Visual Analytics
    Statistics and Probability
    Mathematical Modeling Techniques
    Simulation and Modeling Techniques
    Business Analytics and Data Mining
    Machine Learning and Big Data
    Web Analytics
    R Programming


    List of Top Universities To Study Data Science in USA

    There are many data science universities in USA offering different levels of courses. Most of them are recognised globally for their quality education and infrastructure. To help you in choosing the best university, here we have curated a list of top universities for data science in USA.

    -Harvard University
    -Columbia University
    -Yale University
    -University of California Berkeley
    -Northwestern University


    Admission Requirements and Eligibility Criteria For Data Science in USA
    The requirements for data science courses in USA vary across the universities. As every university has their own eligibility criteria for the programs, some of the common ones are.

    -Educational Qualifications
    -Language Proficiency
    -GMAT or GRE Scores
    -Work Experience
    -Passport & Visa

    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 is common in the Data Science curriculum in top universities abroad?
    It could be many things. For example, the base topics are almost the same for every data science curriculum. Of course, there would be a few tweaks and differences, but topics like linear regression, Python, SQL, statistics and data libraries are always there. It’s because these are some of the most basic ones that are used in data science.


    Later on, the electives differ from university to university. However, it doesn’t mean they will completely differ. For example, you could choose data structure, linguists, optimization or maybe advanced algorithms. Now it is possible that you may not find all these electives in a different data science course in a different university.


    But as I mentioned, these are the most common topics you will find in a data science course abroad:


    linear regression
    Python
    SQL
    statistics
    data libraries

    These are the very basic topics every data science course has. Like you have to learn python to some extent even if you are not planning for a career in it. Topics like these are also used in interviews of university students or for a job. It is very likely to see some foundation questions that can trick you if you choose to skip any of these topics.


    Just like trigonometry in school, basic areas of data science may seem useless, but they are not.  People are literally making a career out of Python language. And it's not even rare to do so. Basically, you can master any area of data science and later convert it into electives to get specialization. All standard data science courses allow you to start your specialization in the second year.


    Except for these topics, the number of electives you can pick can differ. But mostly, it’s very flexible for students. Some universities offer added courses along with your specialization. However, I would not consider it common as not every university does so.


    Except for UK based universities, the curriculum of every data science course is somewhat similar. The real difference is in the teaching method. In the UK, they have one-year master courses. They are fast and directly start with your specialization. If you are clear on your goals and career plans, this might be the best one for you. Anyway, I hope I have given enough information so you can make your decision. Let me know if you need anything else.

    Is Stevens institute of technology's ms in data science good for career growth?

    See, in my opinion, for career growth, we can judge an institution only on a few factors. Firstly the placement opportunities that arrive at the company ensure that you will be exposed to a good company. Next is the type of students that are going to be studying with you; if the students are good, then this guarantees that the network that you will be building on your journey will be a great one that will be beneficial for your own personal growth. But to give you a detailed scenario, let me just take you through all the details about the university regarding their MS in data science. 

    So stevens institute of technology is regarded among the most prestigious universities in the world, which provides all the necessary skills and knowledge in the field of data science. The core of this program is around mathematical and statistical modelling, computational systems, research conduction, data management, and machine learning. After your graduation, you will have advanced knowledge of the techniques, theories, and applications which are used to acquire data along with other skills. 

    Steven Institute has been ranked as the 63rd most innovative school by the U.S. News & World Report while it is on the 76th position for best undergraduate teaching. Niche has also ranked it as second for best colleges in the state of New Jersey, Stevens Insitute has been ranked at 36th position for best college locations in the United States, it is also at the 41st position for best value schools in America, and 77th for best private universities in the country.

    Stevens Institute of Technology has been accredited by the Middle States Commission on Higher Education (MSCHE), and let me tell you it is a regional accrediting agency which provides accreditation to colleges and universities in its specific region only. And the Stevens Insitute of Technology has been accredited by the MSCHE since the year 1927.

    Now, if we talk about the companies that recruit from Stevens, then they are: 

    • Amazon
    • Cloudera 
    • IBM
    • Spunk
    • Numerator
    • Uber

    These are some really great companies to work in. 

    Now it is upto you and your judgement to decide whether the MS in data science at Stevens is worth it or not. By the way, what do you think is the key factor that big universities look for in a student?

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