QS Rank:

200

Arizona State University

Arizona
,United States

Program Name
Master of Science in Data Science, Analytics and Engineering (Computing and Decision Analytics)

Deadline
January 15th, 2024
Overview

The Master of Science in Data Science, Analytics, and Engineering (Computing and Decision Analytics) at Arizona State University is designed to equip students with the skills and knowledge necessary to excel in the rapidly evolving field of data science. This program offers a comprehensive curriculum that covers various aspects of data analytics, machine learning, and decision-making processes. By blending theoretical knowledge with practical application, students will gain the ability to analyze complex data sets, derive actionable insights, and develop innovative solutions for real-world problems.
The curriculum is structured to provide a well-rounded education in data science. Core courses include Data Mining, Data Visualization, Machine Learning, and Statistical Methods for Data Science. Students will also have the opportunity to explore elective courses that align with their interests, such as Big Data Technologies, Artificial Intelligence, and Predictive Analytics. This variety ensures that graduates are not only proficient in data analysis but also prepared to tackle specialized challenges within different sectors. The program spans over 24 months and offers flexible intake options for students in both Spring and Fall.
Faculty expertise is a cornerstone of the Master of Science in Data Science program. Students will learn from renowned professors and industry experts who bring a wealth of knowledge and experience to the classroom. The faculty's teaching methodology emphasizes collaboration, critical thinking, and hands-on learning, allowing students to engage in projects that enhance their learning experience. The faculty members are also involved in groundbreaking research, providing students with opportunities to participate in research projects that can lead to significant contributions in the field.
Research opportunities are abundant at Arizona State University, with state-of-the-art facilities and resources dedicated to data science and analytics. The Ira A. Fulton Schools of Engineering is equipped with advanced labs that facilitate innovative research initiatives. Students can engage in projects that focus on areas such as social media analytics, health informatics, and data-driven decision-making, ensuring they stay at the forefront of technological advancements. Collaborations with industry partners further enhance research opportunities, allowing students to apply their skills in real-world settings.
Industry connections are another key feature of the program, as Arizona State University actively partners with leading organizations in various sectors. These connections not only enrich the academic experience but also open doors for valuable internship opportunities. Students can gain hands-on experience through internships, providing them with the practical skills and professional networking necessary to succeed in today’s competitive job market. The program’s strong emphasis on employability ensures that graduates are well-prepared for roles such as Data Scientist, Data Engineer, and Business Analyst.
Career pathways for graduates of the MS in Data Science, Analytics, and Engineering are extensive and diverse. The program prepares students to enter various sectors, including tech, healthcare, finance, and consulting. With a median base salary of $53,000 upon graduation, students can anticipate rewarding career outcomes. The alumni network is a testament to the program's success, with many graduates securing prestigious roles in leading companies and organizations across the globe. Testimonials from former students highlight the program's impact on their professional journeys, emphasizing the supportive learning environment and the high-quality education received.
Moreover, Arizona State University offers unique features that distinguish this program from others. The emphasis on a practical learning approach ensures that students not only learn theoretical concepts but also apply them in real-world scenarios. The program’s commitment to diversity creates an inclusive atmosphere where students from various backgrounds collaborate and learn from one another. Additionally, the university's strategic location in a thriving tech hub provides access to numerous job opportunities and industry events, further enhancing the overall educational experience.
Why Study Master of Science in Data Science, Analytics, and Engineering (Computing and Decision Analytics) at Arizona State University?
- Access to a cutting-edge curriculum that integrates theoretical knowledge with practical application.
- Learn from esteemed faculty members who are experts in their respective fields.
- Engage in extensive research opportunities supported by state-of-the-art facilities.
- Benefit from strong industry connections that facilitate valuable internship opportunities.
- Join a diverse community of students and alumni, fostering collaboration and networking.
- Prepare for a wide array of career pathways in high-demand sectors with competitive salary prospects.
To apply for the program, prospective students should note the application requirements, including a transcript, statement of purpose, resume, and letters of recommendation. The application fee is $115, and important deadlines include January 15th for the Fall intake. Language proficiency in English is mandatory, with accepted tests including IELTS, PTE, TOEFL, and DUOLINGO. Each test has specific scoring requirements that applicants must meet to ensure their eligibility for the program.
Overall, the Master of Science in Data Science, Analytics, and Engineering at Arizona State University is an excellent option for those seeking to advance their careers in data science. The program’s blend of rigorous academic training, practical experience, and industry engagement prepares students to become leaders in the field of data analytics.

Total Tuition Fees
$23,160

Duration
24 Months

Median Salary
$53,000
Ranking
#165
US World and News Report
#132
The World University Rankings
#200
QS World University Rankings

Intake
Spring ( Apr - June )

Intake
Fall ( Sept - Nov )
Class Profile

Class Size
26

Average Age
27

Average Work Experience
2 Years
Diversity
Others:
15%California:
20%Texas:
15%Florida:
5%Arizona:
35%New York:
10%Career Outcomes

Median Earnings After Graduation
$53,000 / year
Prospective Job Roles
Data Engineering Manager
Consulting
Data Scientist
Manufacturing
Data analyst
Top recruiters









Eligibility Criteria
English Proficiency Tests
IELTS
7
PTE
65
TOEFL
90
DUOLINGO
115
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.

Application Fee: 115
Transcript
Statement of Purpose
Resume
General LOR
General LOR
Application Deadlines
Standard Deadline | |
---|---|
Fall | Jan 15, 2024 |
Spring | Sep 15, 2023 |
Fees and Funding

Tuition Fees
$74,088 / year

Overall Cost
$1,04,088 / year
FAQs
- Admissions Requirements:
To apply for the Master of Science in Data Science, Analytics, and Engineering program at Arizona State University, prospective students must meet the following requirements:
- Transcript: Official academic records from previous institutions.
- Statement of Purpose: A personal essay outlining the applicant's goals and motivations for pursuing this degree.
- Resume: A current resume detailing educational background and work experience.
- Letters of Recommendation: Typically, two to three letters from individuals who can speak to the applicant's qualifications.
The application fee is $115. Additionally, applicants must demonstrate English language proficiency through accepted tests such as IELTS, PTE, TOEFL, or DUOLINGO, each with specific scoring requirements.
- Program Structure:
The Master of Science in Data Science, Analytics, and Engineering program is structured to provide a comprehensive education in data science over a span of 24 months. The curriculum includes:
- Core Courses: Essential classes such as Data Mining, Data Visualization, Machine Learning, and Statistical Methods for Data Science.
- Elective Courses: Opportunities to explore specialized areas, including Big Data Technologies, Artificial Intelligence, and Predictive Analytics.
This diverse curriculum ensures that graduates are well-prepared for a variety of challenges in different sectors.
- Teaching Methods:
The teaching methodology in the Master of Science in Data Science program emphasizes:
- Collaboration: Encouraging teamwork and group projects among students.
- Critical Thinking: Fostering analytical skills to evaluate and interpret data effectively.
- Hands-on Learning: Engaging in practical projects that enhance the learning experience.
Students will learn from renowned professors and industry experts, who bring a wealth of knowledge to the classroom, further enriching the educational experience.
- Career Prospects:
Graduates of the Master of Science in Data Science, Analytics, and Engineering program have extensive and diverse career pathways. The program prepares students for roles in various sectors, including:
- Technology
- Healthcare
- Finance
- Consulting
With a median base salary of $53,000 upon graduation, students can anticipate rewarding career outcomes. The strong alumni network indicates the program's success, with many graduates securing prestigious positions in leading companies worldwide.
- Program Highlights:
The Master of Science in Data Science, Analytics, and Engineering program at Arizona State University offers several distinctive features:
- Access to a cutting-edge curriculum that integrates theoretical knowledge with practical application.
- Learning from esteemed faculty members who are experts in their respective fields.
- Extensive research opportunities supported by state-of-the-art facilities.
- Strong industry connections that facilitate valuable internship opportunities.
- A diverse community of students and alumni, fostering collaboration and networking.
- Preparation for a wide array of career pathways in high-demand sectors with competitive salary prospects.
- Unique Aspects of the Program:
This program distinguishes itself through:
- Practical Learning Approach: Students learn theoretical concepts and apply them in real-world scenarios, ensuring relevance and applicability.
- Commitment to Diversity: The program creates an inclusive atmosphere that values collaboration among students from various backgrounds.
- Strategic Location: Arizona State University's location in a thriving tech hub provides numerous job opportunities and access to industry events.
- Research Opportunities:
Yes, the Master of Science in Data Science program offers abundant research opportunities. Students can engage in projects supported by:
- State-of-the-art facilities dedicated to data science and analytics.
- Collaboration with industry partners, allowing students to apply their skills in real-world settings.
Research areas include but are not limited to social media analytics, health informatics, and data-driven decision-making, ensuring students stay at the forefront of technological advancements.
- Intake Options:
The Master of Science in Data Science program offers flexible intake options for students, allowing them to start in either Spring or Fall semesters. This flexibility is designed to accommodate the diverse needs of prospective students.
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