Degree Overview
- Delivery Format: on-campus
- Required Credits: 120
Program Details
Develop AI Competencies: Equip students with a thorough understanding of AI concepts, techniques, and tools, including machine learning, natural language processing, and neural networks. This knowledge will enable them to select and apply the most appropriate AI solutions to address specific business intelligence challenges, such as predictive analytics, customer segmentation, and real-time decision-making.
Enhance Analytical Skills: Foster strong analytical and critical thinking skills to enable students to interpret and leverage complex data for strategic decision-making. Emphasis will be placed on using AI-driven tools such as data visualization software, advanced analytics platforms, and business intelligence dashboards to extract actionable insights from large datasets.
Promote Innovation: Encourage innovative thinking and problem-solving skills to develop new AI-driven business models and solutions. Students will learn to design and implement AI strategies that can automate routine tasks, optimize operations, and create new business opportunities, ultimately driving competitive advantage.
AI is a great tool for improving operations and providing deeper insights and more informed decision making, but AI can provide even greater benefits when viewed as an innovation pathway. (https://coe.gsa.gov/coe/ai-guide-for-government)
Bridge the Skill Gap: Address the growing demand for AI and business intelligence professionals by providing a curriculum that aligns with industry needs and standards. This includes hands-on experience with leading AI and business intelligence tools such as TensorFlow, Power BI, and Tableau, ensuring graduates are job-ready and proficient in the technologies most sought after by employers.
Ethical AI Practices: Instill a strong understanding of the ethical implications and responsibilities associated with AI technologies in business. Students will explore topics such as data privacy, algorithmic bias, and the societal impact of AI, preparing them to implement AI solutions responsibly and ethically.
Graduates of this program will be well-positioned to meet the increasing demand for AI and business intelligence expertise in various industries. The degree will open numerous career opportunities, including roles such as AI specialists, data analysts, business intelligence analysts, and AI strategists. By mastering AI technologies and business intelligence, students will gain a competitive edge in the job market, driving innovation and efficiency within their organizations. Moreover, this program will empower students to become leaders in their fields, capable of navigating and shaping the future of business in an AI-driven world.
What You Will Learn:
- Our students will demonstrate the knowledge and application of the fundamentals of AI for Business
- Our students will demonstrate the ability to solve AI problems using current technology
- Our students will demonstrate the ability to use technology for effective AI for business solutions
- Our students will demonstrate the ability to deliver effective presentations enhanced by technology
- Our students will demonstrate the ability to understand and use team building behaviors to accomplish group tasks
- Our students will demonstrate the ability to identify ethical dilemmas and make decisions grounded in ethical principles
- Our students will demonstrate an entrepreneurial mindset including resiliency, resourcefulness, solutions-orientation, and creative thinking
Admissions & curriculum
Business with AI Salaries
Starting Salary, NJIT Average
AI is transforming enterprise applications by enabling real-time, AI-driven decision-making at scale.
Where do Business with AI majors work?
- AI Business Strategist
- Business Analyst
- Customer Insights Analyst
- Financial Analyst
- Supply Chain Analyst
- Johnson and Johnson
- Verizon
- Bloomberg
- AWS
- Microsoft Corporation
Tuition Cost
How Much does it cost to Attend NJIT?
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Chen, Yi
- Professor of Business Data Science
- Leir Chair in Healthcare
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Gupta, Shubham
- Assistant Professor of Decision Science and Business Analytics
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Keslin, Gregory
- Assistant Professor of Artificial Intelligence in Business
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Li, Jixing
- Assistant Professor of Finance and Financial Technology
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Yu, Dantong
- Professor of Business Data Science
Degree Overview
- Delivery Format: on-campus
- Required Credits: 120
Program Details
Financial Technology (FinTech) is a rapidly growing industry that uses technology to improve activities in finance. It has been disrupting the traditional delivery of financial services through rapid integration of technology, algorithms, data and mobile applications. Today, FinTech is considered to be one of the most important industries in the global economy, with over 50 billion USD of investment in start-up companies in 2018 alone, the largest skills gap with 1.5 million positions created, and the highest paid salaries. FinTech has brought an unprecedented demand for professionals with advanced skills in finance, mathematics, programming, analytics, data science, applied statistics, and regulatory and compliance.
BS in FinTech Guided Curriculum
What can this program offer?
This degree program not only includes traditional finance coursework, but also provides an in-depth knowledge and understanding of the theories and evolution of FinTech, data-driven financial modeling, financial data mining and machine learning, financial data analytics, and new innovations in the financial sector, including AI, blockchain, cloud computing, machine learning, etc. The primary goal of the program is to develop students who have the necessary skills and knowledge to pursue competitive professional and academic careers.
Who is it for?
This program is designed for students who are interested in applying modern tools to improve financial activities, design new applications, processes, products or business models related to financial services. Students should anticipate the acquisition of skills, knowledge, and professional training that enable them to pursue careers in finance, technology, and entrepreneurship such as investment banking, international finance, commercial banking, sales and trading, information technology, social entrepreneurship, etc.
What are Potential Career Prospects in FinTech?
There are various career paths one may pursue after completing the FinTech program. In particular, careers in finance, technology, and entrepreneurship such as investment banking, wealth management, international finance, commercial banking, insurance, information technology, social entrepreneurship, etc. are vocations within the scope of this program. Graduates may work for FinTech startups as well which concentrate in alternative lending, cryptocurrency management and trading, blockchain technologies, open banking, insurtech, Robo-advisement, machine learning and data mining applications and cybersecurity. Some may work for traditional financial services companies, which are in need of staff with technical skillsets to improve existing business practices and/or develop new processes related to technological innovations.
What You Will Learn:
- Students will demonstrate knowledge of business.
- Students will demonstrate an ability to analyze concepts, to apply these concepts to solve business problems and use quantitative methodologies as tools to solve business problems.
- Oral communication: Students will demonstrate the ability to deliver effective presentations enhanced by technology.
- Written communication: Students will demonstrate the ability to write clear and concise reports.
- Students will demonstrate the ability to search databases, locate, use and properly cite relevant information.
- Students will demonstrate the ability to understand and use team building behaviors to accomplish group tasks.
- Students will demonstrate the ability to identify ethical dilemmas and make decisions grounded in ethical principles.
- Students will demonstrate the ability to use technology for effective project management.
- Students will demonstrate an understanding of the global context in which business is conducted.
Admissions & curriculum
Financial Technology Salaries
Mid-Career Salary, National Average
1.5 million positions to be filled. Top 2% for Return on Investment
Where do Financial Technology majors work?
- Project Manager
- Data Analyst
- Financial Analyst
- Blockchain Developer
- Cryptocurrency Manager
- Bank of America
- BNY Mellon
- JPMorgan Chase
- Bloomberg
- Fiserv
Tuition Cost
How Much does it cost to Attend NJIT?
Business
What do Business majors do?
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Martin Tuchman School of Management provides a continuous support system that extends beyond a degree program and prioritizes close relationships, making each student a Highlander."Anousha Raina -
The MSM-BA program provided the perfect blend of management and analytical courses, enhancing my profile for success in the industry."Divya Tekani
Related Majors
Explore all the degrees you can earn at NJIT
Explore NowDegree Overview
- Delivery Format: on-campus
- Required Credits: 12
Program Details
Provides the skills and tools needed to analyze business models and apply core business concepts toward solving tactical and strategic problems. Course delivery and material include online lectures accessible over the Internet, threaded discussions, online chat in real time and case analyses. Each course has the same user interface so that each course has the same look and feel allowing students to move seamlessly from course to course. Credential relates in its entirety to either NJIT MBA or NJIT MS in Management.
What You Will Learn:
Students in the Finance for Managers Graduate Certificate Program will learn a wide range of leadership and management skills in addition to the following skills:
- Management accounting (break-even analysis, profit planning, transfer pricing and more).
- Financial and economic environment issues integrated with market structure, cost/production technology, pricing policy, cash flow and more.
- Financial management of assets, liabilities, and equity in a domestic framework (financial statement analysis, financial ratio analysis, capital budgeting and structure, and more).
- International finance (exports and imports, multicurrency working capital, tax consequences and the principal-subsidiary relationship of the multinational enterprise and more).
- Mergers, acquisitions, and restructuring (valuation, broker/finder agreements, post-merger integration and more).
Admissions & curriculum
Management Salaries
Starting Salary, NJIT Average
Top 50 Nationally for Entrepreneurship Studies - The Princeton Review, 2025
Where do Management (MSM) majors work?
- Business Analyst
- Data & Insights Analyst
- Supply Chain Manager
- Project Manager
- Asset Manager
- Bristol Myers Squibb
- PWC
- Accenture
- ADP
- Fiserv
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Pursuing a BS in Business Management and my MBA at MTSM has prepared me for a thriving career in a tech-savvy world."Travis Forbes
Tuition Cost
How Much does it cost to Attend NJIT?
Degree Overview
- Delivery Format: on-campus
- Required Credits: 12
Program Details
Provides professionals with advanced skills and tools to collect data, analyze it and interpret results across a wide variety of high-tech companies. The techniques learned can be applied to quality control, production design and analysis, telecommunications, financial analysis and risk analysis.
What You Will Learn:
Students in the Applied Statistical Methods Graduate Certificate Program will learn a wide range of leadership and management skills in addition to the following skills:
- Role and purpose of applied statistics (summary measures for quantitative/qualitative data, random behavior modeling, computational statistical inference, linear regression analysis and inference, and more).
- Regression models and the least squares criterion.
- Role of sample surveys, sampling design and different sampling methods.
- Fixed and random effect models and ANOVA, block design, Latin square design, factorial and fractional factorial designs and their analysis.
- Statistical software such as JMP, SAS and S-plus.
- Times-series and naïve-forecasting models, estimation and forecasting for ARMA models and nonseasonal and seasonal ARIMA models, and more.