Master of Science in Data Science | Master of Science | Graduate & Professional Programs | Rawls College Home (2024)

Ranked the No. 3 best online, non-MBA program in the nation in 2022, the Rawls College Master's in Data Science (MSDS) program provides graduates with the technical expertise needed to lead in the digital frontier. Through our 36-hour, STEM-designated program, learn how to manage, analyze and understand complex data to make strategic decisions. Upon graduation, you will have the skills and knowledge needed to be an agile data scientist capable of making impactful decisions across a variety of business settings and industries.

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program highlights

Flexible Format

Master of Science in Data Science | Master of Science | Graduate & Professional Programs | Rawls College Home (1)

On-Campus or Online Classes

Options to complete coursework on campus or online allow you to choose the course modality that best fits your personal needs.

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One or Two-Year Options

Complete your degree in as little as a year, or take fewer classes per semester by selecting the online, two-year option.

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Optional Practical Training (OPT) Eligible

International students may qualify to work in the U.S. for up to three years after receiving their degrees.

Cutting-Edge Curriculum

We prioritize the real-world application of knowledge and skills to best support students who want to accelerate their careers in data science, business analytics, business intelligence and big data fields. Through our comprehensive curriculum, you will learn how to use advanced technologies and statistical methods to manipulate data and translate findings into actionable organizational strategies.

Classes include foundational building blocks for today's data scientists:

Statistics for Data Science

Scripting Languages

Database Concepts

Data Technology Environments

Big Data Strategy

Business Intelligence

Multivariate Analysis

Time Series Analysis

Simulation & Optimization

Machine Learning

Decision Theory and Business Analytics

Big Data Security

program format

The MSDS program requires 36-credit hours, consisting of specialized data science courses. This is a lock-step program, requiring students to take classes in a specific order, as concepts build on each other. The program begins in the summer, and summer courses are four to five weeks in length. Fall and spring courses are seven to eight weeks in length. Coursework for the one-year program can be completed on campus or online. The two-year program is available online only.

Working professionals experience their core courses together, creating a stimulating cohort-based learning environment. During your tenure in the program, you will build relationships with peers, emanating from diverse backgrounds and industries, resulting in a larger professional network upon graduation.

View sample degree programs »

faculty

Our MSDS faculty members include engaged technology practitioners who utilize real-world experience to inspire their instruction. Their areas of expertise include computer-aided decision making, information requirements determination, operations management, health care analytics, information economics and more.

Meet our faculty »

class profile

At Rawls College, we believe diversity drives opportunities for collaboration and learning. Together, we benefit from the many perspectives, skills and experiences our students from all over the world bring to our learning environment.

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Master of Science in Data Science | Master of Science | Graduate & Professional Programs | Rawls College Home (5)

supporting your success

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Rawls Career Management Center

Whether you are looking to switch careers or advance on your current path, the Rawls Career Management Center (CMC) is dedicated to supporting your success. The staff in the CMC can help you explore professions and industries, learn strategic career advancement techniques, and connect you with top employers.

Master of Science in Data Science | Master of Science | Graduate & Professional Programs | Rawls College Home (7)

Techsan Connection

The Techsan Connection is a free, online platform for Texas Tech alumni. Through the platform, alumni can apply to jobs, reconnect with fellow classmates, network with industry professionals and volunteer to mentor current students.

admissions

The admission process is the first step toward earning your degree. We will work closely with you to ensure your application process is personal, simple and successful.

Application Requirements

While no prior work experience is required, applicants must have a bachelor's degree. Most applicants have an education or work background in computer science, management information systems, science, engineering, or similar fields. Basic knowledge of computer programming software such as R, SQL, and Python will be beneficial throughout the program's coursework. Additionally, applicants will benefit from prior completion of coursework in calculus, statistics and probability.

Unofficial Transcripts

Applicants must submit unofficial transcripts from any degree-awarding college or university, as well as any post-secondary institution attended.

Resume

Applicants must submit a detailed current resume, indicating professional work experience—including start and end dates (month and year) for each position held. Provide accomplishments and skills acquired, including managerial experience.

GMAT Scores

The summer 2023 intake will not require a GRE or GMAT for application, but submission of scores are encouraged.

We don't have a set minimum or maximum requirement for test scores. We review students holistically taking the application in its entirety into consideration.

English Proficiency for International Students

All international applicants must provide proof of English proficiency before their applications can be considered for admission. Only your most recent measure of English proficiency is considered for admission purposes. This test is waived only for graduates of U.S. universities or universities in English proficiency-exempt countries. Applicants who have completed at least two consecutive years at a college or university in the U.S. or in an English proficiency-exempt country are also exempt from the English proficiency requirement.

Application Deadlines

Summer Entry: May 1

International students are encouraged to apply at least six months in advance when possible.

Apply Now

student resources

  • Prospective Students
  • Current Students
Program Questions

rawlsgrad@ttu.edu
806.742.3184

Cy Cawthron
806.834.1069

  • Address

    Rawls College of Business, Box 42101, 703 Flint Avenue, Lubbock, TX 79409
  • Phone

    806.742.3188
  • Email

    ba_webmaster@ttu.edu
Master of Science in Data Science | Master of Science | Graduate & Professional Programs | Rawls College Home (2024)

FAQs

Is Masters in data science easy? ›

Is Data Science a Difficult Major to Enter? Yes, because it demands a solid foundation in math, statistics, and computer programming, entering a data science degree can be difficult.

How hard is it to get into data science Masters? ›

Yes, it might be challenging to get into a data science degree because it requires a strong foundation in math, statistics, and computer programming. But anyone who puts in the necessary time and effort can learn the skills and information needed to succeed in this field.

What GPA do you need for a masters in data science? ›

Minimum GPA of 3.0 preferred with particular importance placed on the last two years of the undergraduate record.

Is a master of data science worth it? ›

Becoming a data scientist typically requires a bachelor's degree. Still, given the demand for this work across sectors, you may find that earning your master's degree qualifies you for advanced roles that require more in-depth knowledge.

Is data science very difficult? ›

Data science is a major that can be incredibly difficult to get into. The field is growing rapidly, and there are a lot of people who want to get into it. If you're interested in data science, you need to start thinking about how you can position yourself for success in the highly competitive job market.

How difficult is data science for beginners? ›

Data Science is a vast field, and in the beginning, it might feel overwhelming to grasp all the fundamentals of it. But with hard work, focus, and a strong learning roadmap, you will realize that it is just another field and not hard to learn the skills required to get into Data Science.

Can I do Masters in data science with no experience? ›

Absolutely. The field of data science values technical skills, analytical thinking, business acumen, communication skills, and, above all, practical knowledge.

What is a data scientist's salary? ›

The average salary for a data scientist is ₹11,15,365 per year in India. 1.7k salaries reported, updated at 21 April 2024.

Will a masters in data science get you a job? ›

Data science professionals continue to be in demand. Learn more about the type of salary you may be able to earn after graduating with your master's in data science. Data has become an integral part of business, meaning that the demand for data scientists remains high.

How long is a data science master's? ›

Industry-Relevant Curriculum

The MSDS program can be completed full-time or part-time. Full-time students take two courses per quarter and attend classes two evenings per week. The full-time program is 1.5 years in length.

How to get accepted to data science masters? ›

Depending on the program you apply to, you may also need a resume, letter of intent, letters of recommendation, and a minimum GPA. Other programs may require you to complete one or more master's level courses and receive a minimum grade before enrolling in the full program.

How much can you make with a masters in data science? ›

Master Data Scientist Salary
Annual SalaryMonthly Pay
Top Earners$243,000$20,250
75th Percentile$170,000$14,166
Average$165,018$13,751
25th Percentile$133,500$11,125

What is better MBA or Masters in data science? ›

In the end, the choice between what is the scope of data science vs MBA boils down to your strengths, interests, and career aspirations. Data science opens doors to a world of data-driven insights and analysis, while an MBA equips you with business acumen and leadership skills.

Which degree is best for a data scientist? ›

A great way to get started in Data Science is to get a bachelor's degree in a relevant field such as data science, statistics, or computer science. It is one of the most common criteria companies look at for hiring data scientists.

Should I get a PhD or Masters in data science? ›

Advantages of a Data Science PhD

To put it simply, the answer is peerless expertise. It's true: one can hold just a master's degree and still find excellent job opportunities in the data sciences, which is why master's programs are the most popular path for those in the profession.

How long does a Masters of data science take? ›

How Long Does it Take to Complete the Data Science Graduate Program? Program length is ordinarily anywhere between 2 and 5 years. It depends on your preferred pace and the number of courses you want to take each semester.

Is data science hard for non-IT students? ›

Remember, entering the data analytics or data science domain as a non-IT student will require hard work and dedication, but it is definitely achievable with the right resources and effort.

Is data science hard to break into? ›

Breaking into data science can be especially difficult if you have majored in a field such as sociology, psychology, and the like. While your skills—hard and soft skills—matter eventually, you should remember that you are competing with those who have an undergraduate or advanced degree in a related field.

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