Masters of Public Administration
The Master of Public Administration (MPA) program at Auburn University is designed to p...
M.S. in Data Science and Engineering
Auburn, Alabama
INTAKE: May & Aug
Program Overview
Auburn University offers an esteemed Master of Science (M.S.) program in Data Science and Engineering, designed to equip students with the knowledge, skills, and practical experiences necessary to thrive in the rapidly growing field of data science. Auburn University's M.S. program in Data Science and Engineering offers a comprehensive and immersive educational experience that prepares students for successful careers in the dynamic and rapidly growing field of data science. With its interdisciplinary curriculum, hands-on learning experiences, specialization tracks, research opportunities, expert faculty, flexibility, and career development resources, the program equips graduates with the knowledge, skills, and confidence to excel in a variety of roles within the data science industry. Graduates emerge as innovative problem solvers, critical thinkers, and leaders, poised to make significant contributions to the advancement of data science and engineering.
Curriculum:
1. Interdisciplinary Curriculum: Auburn's M.S. program in Data Science and Engineering features an interdisciplinary curriculum that integrates concepts from computer science, statistics, mathematics, and engineering. Core courses cover a wide range of topics such as data analysis, machine learning, data visualization, big data technologies, statistical modeling, and data mining, providing students with a solid foundation in both theoretical principles and practical applications of data science.
2. Hands-On Learning Experiences: A key component of Auburn's program is its emphasis on hands-on learning experiences. Students have access to state-of-the-art computing facilities, data analytics tools, and software platforms, where they can work on real-world data science projects, analyze large datasets, and develop data-driven solutions to complex problems. Through hands-on projects, internships, and research opportunities, students gain practical skills, industry experience, and a portfolio of work that showcases their expertise to potential employers.
3. Specialization Tracks: The program offers specialization tracks or elective courses that allow students to tailor their academic experience to their specific interests and career goals within the field of data science. Specialization areas may include machine learning, artificial intelligence, big data analytics, business analytics, healthcare informatics, or computational biology. Students can choose courses that align with their career aspirations and deepen their expertise in a particular area of data science.
4. Industry-Relevant Skills: Auburn's program is designed to equip students with industry-relevant skills and competencies sought after by employers in the data science field. Students develop proficiency in programming languages such as Python and R, data manipulation and analysis techniques, data visualization tools, machine learning algorithms, and big data technologies such as Hadoop and Spark. These skills prepare graduates for a wide range of career opportunities in industries such as technology, finance, healthcare, e-commerce, and manufacturing.
5. Research Opportunities: Auburn University is renowned for its research excellence, and students in the M.S. program have opportunities to engage in cutting-edge research projects in collaboration with faculty mentors and industry partners. Whether exploring new algorithms, developing predictive models, or analyzing large-scale datasets, students contribute to advancing knowledge in the field of data science while gaining valuable research experience and networking opportunities.
6. Expert Faculty: The program is led by a team of experienced faculty members who are experts in various areas of data science, machine learning, and engineering. These faculty members are actively engaged in research, publication, and industry collaborations, bringing the latest advancements and insights into the classroom. They mentor and guide students, foster a collaborative learning environment, and provide personalized support and advice to help students succeed academically and professionally.
7. Flexibility and Convenience: Auburn's program offers flexibility and convenience to accommodate the diverse needs and schedules of students. With options for full-time or part-time study, on-campus or online courses, and evening or weekend classes, students can tailor their academic experience to fit their lifestyles and commitments. This flexibility enables working professionals to pursue advanced education while balancing other responsibilities.
8. Career Development Resources: Auburn University provides comprehensive career development resources and support services to M.S. students in Data Science and Engineering. Students have access to career counseling, resume assistance, interview preparation workshops, job fairs, and networking events, helping them explore career opportunities, connect with potential employers, and navigate the job market successfully.
Location
Auburn, Alabama
Score
IELTS: 6.5
Tuition Fee
USD 16304
Postgraduate Programs Entry Requirements:
- Academic Qualifications: International students applying for postgraduate programs at Auburn University should hold a bachelor's degree or its equivalent from a recognized institution. The minimum academic requirement is a score of 80-86% or above in the qualifying examination.
- English Language Proficiency:
- IELTS: A minimum overall band score of 6.5 is required.
- TOEFL: A minimum score of 79 on the internet-based test (iBT) is required.
- PTE: A minimum score of 55 is required.
These scholarships recognize academic achievements, leadership potential, and diverse backgrounds.
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International Merit Scholarships: Auburn University offers merit-based scholarships to outstanding international students. These scholarships are awarded based on academic excellence, leadership skills, extracurricular involvement, and other criteria. The scholarships are renewable for up to four years of undergraduate study and provide partial tuition coverage.
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Global Scholars Program: The Global Scholars Program is a prestigious scholarship program at Auburn University. It is designed for academically talented international students who demonstrate exceptional leadership abilities, community involvement, and a commitment to global issues. Selected students receive a comprehensive scholarship package that includes full tuition, housing, and a stipend.
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Cultural Diversity Scholarships: Auburn University recognizes and values the diversity of its student population. The Cultural Diversity Scholarships aim to support underrepresented international students who contribute to the university's cultural and global perspectives. These scholarships provide financial assistance for tuition and living expenses.
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Departmental Scholarships: Various academic departments and colleges within Auburn University offer scholarships specifically for international students. These scholarships may be discipline-specific and require students to major in a particular field of study. Students are encouraged to explore departmental websites and contact their respective academic units for information on available scholarships.
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Graduate Assistantships: International graduate students may have the opportunity to work as graduate teaching or research assistants within their academic departments. These assistantships provide a stipend, tuition remission, and valuable professional experience. Graduate students can inquire about assistantship opportunities when applying to their respective graduate programs.
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External Scholarships: Auburn University also encourages international students to explore external scholarship opportunities provided by governments, organizations, and foundations. The university's Office of International Programs provides guidance and resources to help students search and apply for external scholarships.
It is important for international students to carefully review scholarship eligibility criteria, application deadlines, and any additional requirements specified by Auburn University. The university encourages early application submission to be considered for the available scholarships.
Graduates of Auburn University's Master of Science (M.S.) program in Data Science and Engineering are highly sought after in various industries due to their specialized skills and expertise in analyzing and interpreting large datasets. Auburn University's M.S. program in Data Science and Engineering opens doors to a wide range of exciting and lucrative career opportunities in the rapidly growing field of data science. With its specialized curriculum, hands-on learning experiences, research opportunities, and industry connections, the program equips graduates with the knowledge, skills, and versatility to succeed in roles ranging from data scientist and machine learning engineer to business intelligence analyst and research scientist. Graduates emerge as valuable assets to organizations seeking to harness the power of data to drive innovation, solve complex problems, and achieve strategic objectives in today's data-driven world.
1. Data Scientist: Graduates can pursue careers as data scientists, leveraging their expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets. They work with cross-functional teams to identify business opportunities, develop predictive models, and drive data-driven decision-making processes in industries such as technology, finance, healthcare, e-commerce, and manufacturing.
2. Machine Learning Engineer: Graduates with a focus on machine learning may pursue roles as machine learning engineers, designing and implementing machine learning algorithms, models, and systems to solve real-world problems. They work on projects such as recommendation systems, natural language processing, image recognition, and autonomous systems, contributing to advancements in artificial intelligence and automation.
3. Data Engineer: Graduates interested in data infrastructure and big data technologies may pursue careers as data engineers, designing, building, and maintaining scalable data pipelines, storage systems, and analytics platforms. They work with technologies such as Hadoop, Spark, Kafka, and cloud-based data services to process, store, and analyze large volumes of data, enabling organizations to derive insights and value from their data assets.
4. Business Intelligence Analyst: Graduates may work as business intelligence analysts, using data visualization tools and techniques to interpret data, create dashboards, and communicate insights to stakeholders. They play a critical role in helping organizations understand market trends, customer behavior, and operational performance, informing strategic decision-making and driving business growth.
5. Data Analyst: Graduates can pursue careers as data analysts, responsible for collecting, cleaning, and analyzing data to support business operations, marketing campaigns, and research initiatives. They conduct exploratory data analysis, generate reports, and present findings to stakeholders, helping organizations uncover patterns, trends, and opportunities within their datasets.
6. Research Scientist: Graduates interested in research may pursue roles as research scientists or research associates, working in academic institutions, research labs, or industry R&D departments. They conduct research in areas such as machine learning, data mining, natural language processing, or computational biology, contributing to advancements in knowledge and technology through publications, patents, and innovative solutions.
7. Data Consultant: Graduates may work as data consultants or advisors, providing expertise and guidance to organizations on data strategy, analytics implementation, and digital transformation initiatives. They assess business needs, recommend technology solutions, and assist with the integration, customization, and optimization of data science tools and platforms to help organizations derive value from their data assets.
8. Entrepreneurship: Some graduates may choose to start their own businesses or entrepreneurial ventures in the field of data science and engineering. They may establish data analytics firms, consultancy services, or software startups, offering specialized solutions such as predictive analytics, data visualization, or data-driven decision support systems to clients across industries.
