Symbolic Systems
The Master of Science in Business Intelligence within the field of Symbolic Systems is designed to equip students with the skills to analyze complex datasets, interpret insights, and apply them in strategic business contexts. The program combines foundational knowledge in symbolic systems with practical tools in data analytics, machine learning, and information management. Students engage in hands-on projects, learning to integrate computational techniques with business intelligence strategies to solve real-world challenges. Emphasis is placed on both technical proficiency and critical thinking, ensuring that graduates can navigate dynamic, data-driven business environments with confidence.
Throughout the program, students develop the ability to translate data into actionable strategies, exploring interdisciplinary areas such as cognitive computing, artificial intelligence, and decision sciences. Collaborative projects, internships, and research opportunities help students refine their problem-solving and communication skills, while elective modules allow for specialization in key business domains. By the end of the program, graduates possess a robust toolkit of analytical, strategic, and leadership skills, making them highly competitive in a variety of professional settings.
Key information
Key Facts
- Program Title: Symbolic Systems
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 February 2026
- Location: Stanford University, United States
- Field of Study: Business Intelligence
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Business Intelligence
- Introduction to Symbolic Systems
- Foundations of Data Analytics
- Business Statistics and Decision Modeling
- Information Management and Systems
Semester 2 – Advanced Analytics & Computational Methods
- Machine Learning for Business
- Predictive Modeling and Forecasting
- Data Visualization and Communication
- Database Systems and Management
Semester 3 – Applied Projects & Specialization
- Big Data Analytics
- Cognitive Systems and Artificial Intelligence
- Business Intelligence Project / Internship
- Elective Modules in Marketing Analytics, Finance, or Operations
Semester 4 – Master’s Thesis & Strategic Implementation
- Independent Research / Thesis
- Advanced Business Analytics Applications
- Presentation of Findings & Professional Portfolio
- Capstone Project in Business IntelligenceGraduates of this program are prepared for a wide spectrum of high-demand roles in data-driven organizations. Career paths include business intelligence analyst, data scientist, analytics consultant, strategic data manager, and decision support specialist. Beyond technical roles, graduates can contribute to strategic planning, operational optimization, and performance measurement, leveraging data to guide organizational decisions. The combination of computational expertise and business acumen ensures that graduates are capable of transforming complex datasets into actionable insights, driving innovation and efficiency across industries such as finance, technology, healthcare, consulting, and marketing. Additionally, the program equips students with strong communication and leadership skills, enabling them to collaborate effectively with cross-functional teams and influence decision-making at senior levels.
Career Opportunities
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Why Choose This Program
This program offers a unique blend of technical knowledge, analytical skills, and business strategy, preparing students to tackle the evolving challenges of data-driven organizations. The curriculum emphasizes practical application through projects, internships, and research opportunities, allowing students to gain hands-on experience while developing a strong theoretical foundation. Interdisciplinary exposure ensures graduates are not only proficient in machine learning, predictive modeling, and information management, but also skilled in interpreting data for strategic decision-making. By choosing this program, students position themselves to become leaders in business intelligence, capable of driving innovation, improving operational efficiency, and delivering evidence-based solutions. The combination of applied learning, professional development, and a strong support network ensures graduates leave with the skills, confidence, and credibility needed to succeed in a competitive global job market.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 650 000 0000
Email: admissions@standord.edu
Address: University of Standord, 450 Serra Mall, Stanford, CA 94305, United States
