Data Scientist
Summary
- Provide training in three core components of data science: machine learning, big data analysis and programming for Data Science.
- Provide training in applied statistics, particularly statistical inference.
- Cover applications and contemporary topics in Data Science.
- Apply statistical methods for decision making.
- Build and analyze predictive models from data using machine learning and statistical inference.
- Program Data Science applications in high-level languages such as Python and R.
- Analyze large datasets using high-performance computing and distributed computing methods.
- Compare the benefits and drawbacks of contemporary and advanced topics in Data Science.
- Make informed architectural decisions based on a good understanding of how available technologies differ and complement each other and what scalability and consistency trade-offs they provide.
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30
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Required Credits |
Core Faculty
Wei, Zhi
Distinguished Professor
View ProfileWu, Chase
Professor
View ProfileBasu Roy, Senjuti
Associate Professor
View ProfileGeller, James
Professor
View ProfileAdvisement
Where do Data Science (Computing Option) majors work?
Common Job Titles
- Computer and Information Research Scientist
- Computer and Information Systems Manager
- Software Developer
- Management Analyst
- Medical and Health Services Manager
Top Employers
- Takeda Pharmaceutical
- Johnson & Johnson
- I.B.M.
- JP Morgan Chase & Co.
- VIOLA
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Get information on program requirements, tuition, financial assistance and more.
Request InfoSummary
- Offer increasing specialization within the existing knowledge base of Computer Science.
- Address an area in which disciplinary knowledge is being discovered. The Ph.D. candidate enters as a student, progresses as an apprentice scholar and graduates as a colleague of his/her mentor.
- Engage students in the acquisition of existing knowledge through courses selected to provide the foundation of the expertise required for scholarly inquiry at the highest scientific level.
- Provide the intellectual breadth that allows for novel cross-disciplinary problem solving.
- Develop independence in research problem-solving skills at an advanced level.
- Acquire the depth of knowledge.
- Acquire sufficient breadth of knowledge.
- Develop ethical reasoning skills.
- Improve communication skills for teaching and research dissemination.
- Understand the conduct and support of research and development.
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24-36
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Required Credits |
View the Curriculum
Course listing and prerequisitesCore Faculty
Borcea, Cristian
Professor
View ProfileGotsman, Craig
Distinguished Professor
View ProfileWang, Guiling
Distinguished Professor
Associate Dean of Research and External Relations
View ProfileOria, Vincent
Professor
View ProfileSchieber, Baruch
Professor
View ProfileNeamtiu, Iulian
Professor
View ProfileWang, Jason
Professor
View ProfileWei, Zhi
Distinguished Professor
View ProfileAdvisement
Where do Computer Science majors work?
Common Job Titles
- Business Technology Analyst
- Software Developer
- Quality Assurance Engineer
- Junior Programmer
- IT Consultant
Top Employers
- BNP Paribas
- Jni Consulting Corp.
- Mitsubishi UFJ Financial Group
- Prudential Financial
Take the next step in your journey.
Get information on program requirements, tuition, financial assistance and more.
Request InfoSummary
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Prepare students for productive careers and amplify their potential for lifelong personal and professional growth.
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Prepare students to conduct research with an emphasis on applied, interdisciplinary efforts encompassing architecture, design, including the physical and life sciences, engineering, mathematics, infrastructure systems, computing information, communications technologies and management.
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Prepare students for service to urban environments and the broader society of the city, state, nation and global community by conducting public policy studies, making educational opportunities widely available and initiating community‐building projects.
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Prepare students to contribute to economic development through the state’s largest business incubator system, workforce development, joint ventures with government and the business community, and through the development of intellectual property.
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Prepare graduates for positions of leadership as professionals and as citizens; provide educational opportunities for a diverse student body; respond to the needs of large and small businesses, state and local governmental agencies and civic organizations; and advance the use of sciences, technology, engineering and mathematics as a means of improving the quality of life.
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Apply knowledge from computing, mathematics, statistics and management to ensure effective Information Systems practice.
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Analyze problems and systems
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Identify, define and design appropriate computing, IS and IT solutions, tools and methodologies.
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Achieve and demonstrate a working knowledge of the Software Development Life Cycle, which includes requirements analysis, systems design, implementation, testing, deployment, maintenance and evaluation, and apply it to Information Systems projects that solve problems where computing solutions are appropriate.
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Function effectively on teams in order to accomplish a desired goal.
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Understand the ethical, societal and professional responsibilities of the Information Systems professional.
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Communicate effectively in both oral and written modes.
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Identify and analyze the bidirectional impact of sociotechnical problems and computing on individuals, organizations and society, including ethical, legal, security and policy issues.
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Invoke current techniques, skills, tools and methodologies necessary to becoming an effective Information Systems professional.
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Understand the need to engage in continuing professional development, and to understand the purpose of research in the Information Systems and computing fields, and how this benefits current practice.
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Understand processes that support the delivery and management of Information Systems within a business, managerial and organizational environment.
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129
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Required Credits |
Business
Computer Science