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MDS@RICE
Master of Data Science
Online Program
Data scientists are not just statisticians, computer scientists or mathematicians, but highly sought-after individuals with expertise in all of these areas, as well as the ability to answer complex, strategic business questions using big data. With a master’s degree in Data Science, you can break into one of the world’s fastest growing fields. As the demand for data scientists increases, an advanced Master’s degree opens doors to every sector undergoing digital transformation, including tech, energy, healthcare, professional services and more.
Here’s what working professionals will appreciate about the online Master of Data Science at Rice University:
- Same online and in-person degrees
- A rigorous, interdisciplinary curriculum taught by world-class faculty who care about you
- A stronger resume and more employment options upon completion of the program
- Customizable, specialized degrees with expected completion for part-time students in 20 months
- Access to the Data to Knowledge Lab and real-world big data challenges
- Best-in-class online teaching platform
As a reputable, top-ranked university in Houston, TX, we’re committed to providing a superior data science education to our students through innovative research collaborations and by the means of our trusted faculty and staff.
Applications Open for Spring 2022
Applications for the online master’s degree in data science are being accepted for Spring 2022 enrollment. All required application materials must be submitted online by November 1, 2021. To learn more about applying to our online Master of Data Science program.
HOUSTON
An Epicenter of Innovation
Students will benefit from Rice University’s stature within Houston, Texas: Energy Capital of the World. Leveraging employer relationships within the Energy industry, Aerospace industry and Texas Medical Center in Houston, students will apply their knowledge to real-world applications like the Energy Transition, space robotics, and breakthrough biomedical innovations.
With Rice at the nexus of these influential industries, our online MDS students can leverage professional opportunities and resources, including:
– Connection to The Ion and networking opportunities within Houston’s entrepreneurship community
– Opportunities to collaborate with Fortune 500 companies, Rice Faculty and researchers, government, and non-profits
BROADEN FOUNDATIONS
An Interdisciplinary Curriculum Designed to Solve Business Problems
Rice’s online Master of Data Science program is designed to support the needs of working professionals who want to apply data science knowledge, theory and techniques to solve difficult, real-world problems, beginning with raw and dirty data and ending with actionable insights. Discover the difference between Rice University’s online data science masters and other comparable programs.
Program participants will develop a graduate-level understanding of the computational and statistical foundations of data science. Through in-depth study, MDS students obtain mastery of either one of the core methods of data science or one application area of data science. As a leading research institution, students pursuing the online Master of Data Science program at Rice will gain immersive, experiential learning through the Capstone Project.
MDS@Rice students receive the unique opportunity to earn their degree in Houston, the epicenter of the U.S. energy system and home of the innovating Texas Medical Center, and a historical leader and champion in solving the world’s challenges. Upon completion of the online Master of Data Science program, alumni will be able to apply data science techniques to solve difficult, real-world problems and advance their career in Data Science, all while conquering the rigor of one of the best colleges in the nation.
You can complete the flexible online data science master’s program as a full-time student in one year or as a part-time student in 2 – 3.5 years, with degrees customizable to specialty areas of focus.
Best-in-Class Online Learning
Consider the benefits of achieving your Master of Data Science degree online from Rice: a best-in-class flexible and engaging learning format. In our online Master of Data Science programs, your classes are led by distinguished Computer Science Department faculty and enhanced by interdepartmental and intercollegiate experts. Learn from professionals in small class groups and via 1:1 faculty interactions. You will gain real-world skills that support your career goals.
Online Master of Data Science Information Sessions
Body
Important Dates
We offer three intakes per year, so choose the best time to start for you:
| SESSION | APPLICATION DUE | CLASSES START |
|---|---|---|
| SPRING 2022 | November 1, 2021 | January 10, 2022 |
| SUMMER 2022 | March 1, 2022 | May 10, 2022 |
| FALL 2022 | July 1, 2022 | August 22, 2022 |
RICE MDS ONLINE
Industry-Leading Faculty
Rice’s multidisciplinary data science faculty are experts in a variety of areas, including computer science, statistics, electrical and computer engineering, and business. In addition to core coursework in programming, statistics, data visualization, machine learning and big data, our faculty will also provide instruction in other key areas, including:
- Ethics in data science
- Deep learning and network science
- Image processing and medical imaging
- Cybersecurity
- Data-driven marketing, finance and operations management
Data Science And Business Analytics Jobs
If you want to get your foot in the exciting data science career door, a master’s in business analytics and big data can help get you there. Here are 11 career paths you might want to consider…
Machine learning engineer
Average salary: US$110,739
Where you can work: Large tech customer-facing companies or companies that offer a data-based service (Apple, Microsoft, Accenture).
Machine learning engineering is a specialist role still in its infancy. Machine learning engineers collaborate with the organization’s data science team to build programs and create algorithms to deliver data-driven products and services that enable machines to make decisions, take action and enhance user experience without any human interference. An example of this would be self-driving cars and personalized social media news feeds.
Machine learning engineers generally come from a mathematic, physics, or statistics undergraduate background with a specialized master’s or PhD.
Data architect
Average salary: US$116,710
Where you can work: Public or private sector companies.
Data architects use extensive programming tools to design secure data frameworks in order to manage large electronic databases for organizations. This is a highly technical role that involves ensuring the data is relevant, accurate and accessible to the organization so employees can access this information, such as financial records and marketing information, wherever and whenever they need.
You’ll need superior analytical skills, an eye for detail and sophisticated design skills as you fulfil the strategic needs of the organization.
Statistician
Average salary: US$73,054
Where you can work: Various sectors, including education, finance, health, environment, sport, transportation, market research and the government.
Statisticians compile, analyze and evaluate quantitative information from surveys and experiments in order to help organizations reach operational standards and advise on practical solutions to problems.
Relevant qualifications and industry experience is essential if you want to work in this field.
Data analyst
Average salary: US$60,208
Where you can work: Various sectors, including pharmaceuticals, manufacturing, consulting, finance, education and the government.
Data analysts are inquisitive, highly analytical and have a way with numbers. Every organization and business collects data, whether it’s sales figures, logistics, market research or transportation costs. As a data analyst it’s your job to gather and evaluate this data in order to provide clear insights as to how the organization can improve its business strategy and make better business decisions across various areas.
Chief technology officer (CTO)
Average salary: US$159,149
Where you can work: Corporate IT departments, consulting, finance.
This executive level position demands an expert-level knowledge of technological trends and how they can be implemented in building business strategies. Chief technology officers are masters of strategic thinking and conducting technological analysis as they look at ways in which they can ensure the organization stands out in an ever-increasing competitive marketplace.
Strong leadership and organizational skills are essential in this role as you lead your team and consider which technologies are best to harness in order to ensure positive user experience and ensure efficiency across all areas of the business.
Almost half (49 percent) of IE’s Master in Business Analytics & Big Data graduates go on to work in the technology industry.
Chief data officer (CDO)
Average salary: US$180,458
Where you can work: Banking, corporate IT departments, consulting, finance, healthcare facilities.
In 2012, only 12 percent of Fortune 1000 companies had a CDO. Within six years, 67.9 percent of surveyed firms reported having a CDO, according to Forbes. It is the chief data officer’s responsibility to strategically oversee the organization’s data and generate business value from what could be the organization’s most valuable asset.
Chief data officers are business focused and have excellent expertise in IT. Relevant qualifications such as mathematics and statisticians, plus a specialized master’s and industry experience, are all essential if you want to become a chief data officer.
Application architect
Average salary: US$112,871
Where you can work: Software development firms, corporate IT departments, and computer manufacturing companies.
In this fast-paced role, application architects need excellent technical vision, the ability to provide valuable insights and solutions to software development, use and maintenance, as well as strong analytical, problem-solving and critical-thinking skills.
Every day, they carry out a wide variety of tasks such as creating new and improved applications, developing prototypes, running software tests, and creating technical documents for application software.
You’ll need proven programming language and architecture design skills and experience, as well as relevant qualifications and industry experience. A master’s in business analytics and big data for example, will equip you with the ability to rethink and rebuild products, services and processes as well as solve user problems using advanced analytics and relevant data insights.
Project manager
Average salary: US$73,901
Where you can work: Construction, engineering, IT, and marketing.
As a project manager you’ll use your data-driven business acumen to plan, budget and oversee your organization’s project/s. You will also need to be organized and possess excellent leadership and critical-thinking skills.
Market research analyst
Average salary: US$63,120
Where you can work: Finance and insurance, consulting services, manufacturing.
Market research analysts compile complex reports, spreadsheets, surveys and opinion polls in order to gather and evaluate significant market intelligence that can help an organization market their product or service in the best way possible. Data can include consumer demographics, spending habits and sales trends, needs, interests, and preferences.
Market research analysts need a good working knowledge of statistical software and techniques in order to monitor and forecast the effectiveness of such strategies.
Business/analytics translator
Average salary: US$53,552
Where you can work: Finance, insurance, and consulting services.
As organizations continue to turn their attention to advanced and novel technologies such as artificial intelligence (AI) and machine learning to leverage success and improve business efficiency, business/analytics translators are filling the gap between an organization’s business team and technology team.
An organization’s business team and technology team can be at opposite ends of the spectrum, causing confusion, miscommunications and in some instances, massive errors. Business/analytics translators work to ensure the focus stays on the organization’s values and objectives, but are data-savvy enough to understand and liaise with those in the data science team. Business/analytics translators then confirm the ‘roadmap’ for going forward.
Data scientist
Average salary: US$88,779
Where you can work: IT departments, finance and e-commerce, retail, transport services, healthcare services, academia and the government.
Last, but most definitely not least – the data scientist.
Using algorithms, artificial intelligence, machine learning and other statistical tools, data scientists mine complex, raw data from a range of sources and turn into meaningful, transparent information in order for the organization to improve their business strategy and operations.
The career-focused Master in Business Analytics & Big Data at IE University teaches with innovation and versatility at the forefront of its curriculum and offers an array of hands-on learning opportunities including multimedia simulations, classroom debates, and case studies.
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