Program Overview
Stevens Institute of Technology's Data Science Doctoral Program is an interdisciplinary program that equips students with the skills and knowledge to excel in data science, particularly in emerging areas like artificial intelligence, machine learning, and language processing. The program emphasizes a strong foundation in data analytics and modeling, machine learning, computational systems, and data management at scale. Graduates are prepared for research careers in academia and important positions in industries such as business, financial services, and life sciences.
Program Outline
It is designed to equip students with the skills and knowledge necessary to excel in the field of data science, particularly in emerging areas like artificial intelligence, machine learning, and language processing. Students will apply these theories and techniques in practical research alongside Stevens faculty who are at the forefront of the data science field. Graduates are prepared for research careers in academia and important positions in industries such as business, financial services, and life sciences.
Outline:
The program curriculum is structured around four pillars:
- Mathematical and statistical modeling: This pillar covers multivariate analytics, financial time series, and dynamic programming techniques.
- Machine learning and artificial intelligence: This pillar focuses on statistical learning and financial analytics applications of machine learning and AI.
- Computational systems: This pillar explores advanced algorithm design, distributed systems, and cloud technologies. Students can choose a concentration that aligns with their career interests:
- Financial services: This concentration prepares students for roles in financial innovation, high-frequency trading, portfolio optimization, automated investment systems, financial data mining and visualization, and trade surveillance and financial fraud detection.
- Life sciences: This concentration prepares students for advanced research in computational modeling in biology and biomedical science, bioinformatics, computational and medicinal chemistry, and biomedical data reduction. Students can also select from a list of approved general electives with their advisor's approval.
Assessment:
The program requires students to complete rigorous research requirements, culminating in a dissertation. The dissertation is expected to contribute to the creation of knowledge and the development of theory and practice in a selected area. The dissertation and related research are the most significant components of the doctoral degree and prepare students for original work and publication in peer-reviewed journals.
Teaching:
The program boasts a faculty of renowned researchers in artificial intelligence, deep learning, computational intelligence, and other related fields. Students benefit from close collaboration with these faculty members, whose research has led to significant breakthroughs.
Careers:
Graduates of the Data Science Doctoral Program are well-prepared for research careers in academia and important positions in industries such as business, financial services, and life sciences.
Other:
The program offers cross-disciplinary curriculum and research opportunities, application-oriented research, a highly collaborative environment, opportunities for industry collaborations, and access to leading research universities and national laboratories in the New York City area.
Stevens Institute of Technology
Overview:
Stevens Institute of Technology is a student-centric research university with a strong focus on technology. Located in Hoboken, New Jersey, Stevens offers a range of undergraduate and graduate programs across diverse fields, including technology, finance, medicine, energy, engineering, art, and music.
Services Offered:
Stevens provides a comprehensive range of services to its students, including:
Academic Resources:
Access to libraries, tutoring services, and academic advising.Student Support:
Counseling and psychological services, student health services, and disability services.Career Development:
Career center resources, internship opportunities, and job placement assistance.Student Life:
A vibrant campus experience with clubs, organizations, athletics, arts, and cultural events.Housing:
On-campus housing options for students.Student Life and Campus Experience:
Stevens offers a dynamic campus experience with a strong sense of community. Students can participate in a variety of clubs, organizations, and athletic teams. The campus is located across the river from New York City, providing easy access to the city's cultural and entertainment offerings.
Key Reasons to Study There:
Innovation and Technology Focus:
Stevens is known for its emphasis on innovation and technology, preparing students for careers in cutting-edge fields.Industry Connections:
Strong industry partnerships and internship opportunities provide students with valuable real-world experience.Location:
The campus's proximity to New York City offers students access to a wide range of career opportunities and cultural experiences.Return on Investment:
Stevens consistently ranks high in return on investment rankings, indicating the value of its education.Academic Programs:
Stevens offers a wide range of academic programs, including:
Undergraduate Study:
35 undergraduate majors across various disciplines.Graduate Study:
58 master's degree programs and 20 Ph.D. programs.Stevens Online:
Online degree programs for working professionals.Corporate Education:
Programs designed for professionals seeking to advance their careers.Other:
Stevens is committed to diversity, equity, and inclusion, and has a strong focus on sustainability. The university also has a rich history and a strong alumni network.
Entry Requirements:
- Master's Degree: Applicants are typically required to hold a master's degree in a technical discipline such as computer science, business intelligence and analytics, financial analytics, financial engineering, biomedical engineering, or chemical biology.
- Bachelor's Degree: Exceptional applicants with a bachelor's degree and relevant work experience may also be considered.
- GMAT or GRE Score: An excellent GMAT or GRE score is required for both part-time and full-time applicants.
- Prerequisite Courses: Applicants must have completed prerequisite courses in calculus, statistics, probability, algebra, and database management.
- Programming Language Proficiency: Fluency in at least one programming language, such as C++ or Java, is required.
- Writing Sample: Applicants must submit a writing sample, such as a journal or conference publication, thesis, or research reports.
Language Proficiency Requirements:
- International Students: For international students, an excellent TOEFL or IELTS score is required.
