Master of Science in AI in Business

Program Overview

The Master of Science in Artificial Intelligence in Business at NIT is developed using Arizona State University’s curriculum and offers a 1+1 pathway with both NIT and W. P. Carey School of Business at Arizona State University (ASU).

Course Curriculum

Students in the Master of Science in Artificial Intelligence in Business develop technical AI and professional skills needed for success in the constantly evolving landscape of technology and business.

With an emphasis on mindful implementation, students learn to understand the implications and possibilities enabled by AI, in addition to the importance of governance and principled innovation.

They gain the necessary foundation to excel in evolving fields, with a focus on mindful AI that sets them apart in the workforce.

Two Master’s Degrees Instead of One – 1+1 Pathway

Students pursuing their Master of Science in AI in Business from NIT have the unique opportunity to participate in the 1+1 pathway at Arizona State University (ASU) to earn two master’s degrees – one from Pakistan and one from the U.S.

Degree Pathway with ASU – How It Works

Start your master’s degree in AI in Business at NIT and transfer a portion of your NIT credits toward an additional master’s degree from the W. P. Carey School of Business at ASU (online or on campus in the U.S.), graduating with two master’s degrees in just two years.*

Students choosing to study on campus at ASU may apply for OPT, allowing eligible graduates the opportunity to work legally in the United States for up to three years (depending on program eligibility).

Upon successful completion of the 1+1 pathway, you graduate with two master’s degrees:

  • Master of Science in Artificial Intelligence in Business from National Institute of Technology, Pakistan
  • Master of Science in Artificial Intelligence in Business from W. P. Carey School of Business at Arizona State University, United States

*Program details may vary based on academic progress and successful credit transfer and approval by each university. Students participating in the 1+1 pathway must work with their program director at NIT to ensure that credits earned at ASU meet master’s degree requirements at NIT.

Program Duration

2 Years (1st year at NIT and 2nd year in ASU)

Careers

The global economy is increasingly shaped by AI-enabled technologies that transform business models, processes, analytics, and strategic decision-making. Organizations across sectors such as finance, retail, healthcare, logistics, consulting, and technology require professionals who understand both business needs and AI capabilities. This program responds to that market demand by developing graduates who can bridge the gap between technical teams and executive leadership, ensuring AI solutions are aligned with organizational strategy, governance standards, and sustainable growth.

Social Scope The program promotes ethical, socially responsible, and human-centered AI practice. Students are trained to consider the societal impacts of automation, data use, algorithmic bias, and technology adoption. Graduates contribute to building fair, transparent, and inclusive AI-driven systems that support social progress, economic development, innovation, and improved quality of life. The program strengthens leadership capacity for responsible digital transformation across communities and industries.

Employment Scope Graduates are prepared for emerging and high-growth roles at the intersection of AI and business, including AI product management, digital transformation leadership, data-driven strategy, and technology-enabled business innovation. Career opportunities exist across corporate, consulting, technology, entrepreneurial, and public-sector environments. The program enhances employability by combining technical literacy, strategic insight, and ethical awareness, positioning graduates for leadership and advancement in AI-enabled organizational environments.

Master’s degrees available from ASU

Master of Science in Artificial Intelligence in Business

Offered by W. P. Carey School of Business at Arizona State University (ASU)

Admissions to earn a Master's degree at NIT

Applicants must have completed sixteen (16) years of education, or a four-year bachelor’s degree comprising at least 130 credit hours after HSSC/F.A./F.Sc. or an equivalent Grade 12 qualification.

In addition, candidates are required to successfully pass the prescribed Admission Test and Interview as part of the selection process.

Admissions to earn the MS AI in Business by W. P. Carey School of Business at Arizona State University (ASU)

Master of Science in Artificial Intelligence in Business:

NIT undergraduate program diploma + official transcripts from every college or institution attended, including NIT’s. Must submit original transcripts and English translated transcripts.

Minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in the last 60 semester hours or 90 quarter hours of undergraduate coursework OR successful completion of each of the fourarticulated/transfer graduate courses in the POS taught by the ACI with a locally equivalent grade of B or better.

Undergraduate program diploma and official transcripts from every college or institution attended, including your current institution. Must submit original transcripts and English translated transcripts.

Proof of English proficiency: TOEFL of 90, IELTS of 7.0, Pearson Test of English of 64, Duolingo 115, all taken within the last two years from start date, OR successful completion of the appropriate ASU Global Launch level or course.

Program Plan

Core Required Courses for all majors:

Year One

Semester 1 Credits

DSC 500: Applied Research Design and Methods

3 Credits

CIS 507: Programming for AI and Data Analytics in Business

3 Credits

CIS 505: Enterprise Data Analytics

3 Credits

Elective 1

3 Credits

QUR 101: Understanding the Quran I

1 Credits

Semester 2 Credits

CIS 508: Machine Learning in Business

3 Credits

CIS 541: Business Data Visualization

3 Credits

Elective 2

3 Credits

Elective 3

3 Credits

QUR 102: Understanding the Quran II

1 Credits

Semester 3 Credits

Elective 4

3 Credits

Elective 5 & 6 / Thesis / Project

3 Credits

Semester 4 Credits

Thesis / Project

3 Credits

Elective Courses (Semester 1 & 2) Credits

CIS 503: Decision Making with Data Analytics

3 Credits

CIS 515: AI & Data Analytics Strategy

3 Credits

CIS 509: Analytics for Unstructured Data

3 Credits

CIS 591: Python for Data Analysis

3 Credits

CIS 518: Big Data Analytics

3 Credits

MKT 562: Advanced Analytics for Marketing Decisions

3 Credits

ENP 562: Technopreneurship

3 Credits

Elective Courses (Semester 3 & 4) Credits

CIS 576: Transforming Business with AI

3 Credits

CIS 568: AI Business Strategy

3 Credits

CIS 565: Artificial Intelligence in Business

3 Credits