B.S. in Data Science - Computing

Undergraduate Entry Requirements

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% or above in their previous academic qualifications.

English Language Proficiency:

• IELTS: Overall band score of 6.0 with a minimum of 6.0 in each component.
• TOEFL: Overall score of 79 or higher.
• DET (Duolingo English Test): Overall score of 100.

New Jersey Institute of Technology (NJIT) recognizes the importance of supporting international students in pursuing their academic goals. To attract and assist talented students from around the world, NJIT offers several scholarships and financial aid options specifically designed for international students. 

Global Highlander Scholarship: The Global Highlander Scholarship is a merit-based scholarship offered to incoming international undergraduate students. It is awarded based on academic achievements, leadership qualities, and extracurricular involvement. The scholarship amount varies and is renewable for up to four years, provided the student maintains the required GPA.

International Presidential Scholarship: The International Presidential Scholarship is another prestigious merit-based award available to exceptional incoming international undergraduate students. Recipients of this scholarship receive a substantial amount of financial aid to support their education at NJIT.

International Transfer Scholarship: International students transferring to NJIT from other universities or colleges may be eligible for the International Transfer Scholarship. This merit-based award aims to recognize academic excellence and provide financial support to deserving transfer students.

Educational Opportunity Fund (EOF) Grant: The Educational Opportunity Fund Grant is available to New Jersey residents, including eligible international students. This grant provides financial assistance to students with demonstrated financial need.

Albert Dorman Honors College Scholarship: The Albert Dorman Honors College at NJIT offers scholarships to students accepted into the Honors College program. These scholarships recognize academic excellence and provide enhanced educational opportunities and support.

Private and External Scholarships: In addition to NJIT-specific scholarships, international students may be eligible to apply for private or external scholarships that are not directly offered by the university. These scholarships may be provided by government agencies, organizations, foundations, or other institutions.

Graduates of the B.S. in Data Science - Computing program at NJIT are well-prepared to enter a diverse array of career fields, leveraging their expertise in data analysis, computing, and machine learning. 

Data Scientist: Data scientists are responsible for analyzing complex data sets to extract actionable insights. They use statistical methods, machine learning algorithms, and data visualization techniques to help organizations make data-driven decisions. Data scientists work across various sectors, including technology, finance, healthcare, and retail.

Data Analyst: Data analysts focus on interpreting data to identify trends, patterns, and anomalies. They use tools like SQL, Excel, and data visualization software to create reports and dashboards that aid in business decision-making. Data analysts often work in roles that support marketing, operations, and strategic planning.

Machine Learning Engineer: Machine learning engineers develop and implement algorithms that allow computers to learn from and make predictions based on data. They work on building scalable machine learning models and systems that can handle large volumes of data. This role requires strong programming skills and a deep understanding of machine learning techniques.

Business Intelligence (BI) Developer: BI developers create and manage systems that help organizations make data-driven business decisions. They design and develop BI solutions, including dashboards and reporting tools, to provide insights into business performance. BI developers typically work with data warehouses and analytical tools.

Data Engineer: Data engineers build and maintain the infrastructure that supports data collection, storage, and processing. They design data pipelines and ensure that data systems are scalable and efficient. Data engineers work closely with data scientists and analysts to provide them with clean and accessible data.

Statistical Analyst: Statistical analysts use statistical techniques to analyze and interpret data. They work in various fields, including public health, economics, and social sciences, to draw conclusions from data and support research and policy-making. Strong knowledge of statistical software and methodologies is essential for this role.

Quantitative Analyst: Quantitative analysts, often referred to as "quants," apply mathematical models and algorithms to financial data to support investment and trading decisions. They work in finance, investment banking, and hedge funds, using their expertise to assess risk and identify profitable opportunities.

Data Consultant: Data consultants provide expert advice on data strategy, management, and analysis. They work with organizations to improve their data practices, implement new technologies, and optimize data usage for business outcomes. This role often involves working on a project basis with various clients.

Software Developer (with a Data Focus): Software developers with a focus on data design and develop software applications that handle and process data. They may work on applications for data analysis, data visualization, or integrating data systems. This role combines software engineering skills with data expertise.

Academic and Research Positions: For those interested in academia, a B.S. in Data Science - Computing can be a stepping stone to advanced studies and research positions. Graduates may pursue master's or doctoral degrees and contribute to research in data science, computing, and related fields.