I. Program Overview

The Artificial Intelligence program was established in 2020 and officially approved to enroll students in 2021. This interdisciplinary program integrates computer science, mathematics, control science, and other related disciplines. Guided by the principles of emerging engineering education, the program development aligns with the national AI development strategy while maintaining Northeast Forestry University’s distinctive characteristics. Leveraging the multidisciplinary strengths of theCollegeof Computer and Control Engineering, the program aims to establish a comprehensive, multi-tiered emerging engineering model program with industry-specific features.

II. Educational Objectives

This major aligns with the national development strategy for artificial intelligence, addressing scientific frontiers, industrial sectors, disciplinary innovation, and technological advancements. It aims to cultivate high-level interdisciplinary engineering talents with firm convictions, patriotic sentiments, socialist core values, and multidisciplinary expertise in computer science, mathematics, statistics, and control science. Graduates will be capable of integrating and applying their knowledge to solve complex engineering problems in AI, while demonstrating social responsibility, ecological awareness, self-directed learning, innovation capabilities, communication and collaboration skills, team spirit, and international perspectives. They will adapt to the rapid evolution of AI and contribute to foundational theoretical research, system architecture design, software/hardware development, operation, maintenance, and management of AI projects in AI-related interdisciplinary fields, particularly in the agricultural and forestry sectors.

Graduates of this program are expected to achieve the following outcomes in society and professional fields approximately 5 years after graduation:

1. Being able to undertake the design, development, implementation, and operation of engineering projects in artificial intelligence and its interdisciplinary fields, competent in engineering positions or fulfilling corresponding responsibilities in AI-related domains.

2. Integrating and applying mathematical/natural science knowledge with AI expertise to conduct system analysis, algorithm development, and architectural design for engineering projects in AI and its interdisciplinary fields, demonstrating innovative thinking in practice.

3. Possess sound character, well-rounded humanistic literacy, strong social responsibility, and professional ethics. Capable of making decisions and managing AI-related engineering projects from systematic perspectives, including legal, ethical, economic, social, and environmental considerations.

4. Proficient in effective communication with domestic/international peers, professional clients, and the public. Able to integrate into team environments and play leading roles in collaborative work.

5. Maintain lifelong learning capabilities to keep pace with technological advancements in AI and its interdisciplinary fields. Equipped to support industrial upgrading in AI-related sectors and demonstrate sustainable career competitiveness.

III. Core Curriculum

Core Foundational Courses: Introduction to the Major, Digital Logic, Data Structures, Computer Organization Principles, Operating System Principles, Database System Principles, Algorithm Analysis and Design, etc.

Core Professional Courses: Principles and Applications of Artificial Intelligence, Optimization Theory and Methods, Embedded Systems Development, Machine Learning, Deep Learning, Intelligent Systems, Natural Language Processing, Computer Vision, etc.

Key Practical Teaching Components: Embedded Systems Course Design, Machine Learning Course Design, Intelligent Systems Course Design, Comprehensive Application and Innovation Practice in Artificial Intelligence, Forestry Engineering Application Practice, etc.

4.Characteristic advantages

Feature 1: This program is an interdisciplinary specialization that integrates artificial intelligence technology, computer science, information science, and characteristic industries (such as healthcare, finance, forestry, etc.). It emphasizes the intersection and integration of AI technology with various industries, building a solid theoretical foundation in AI and a professional knowledge system for students. The program focuses on strengthening students’ capabilities in AI modeling and algorithm analysis/design and practical skills in addressing industry-specific AI application challenges while emphasizing the cultivation of personalized scientific thinking and innovative practical abilities, ultimately realizing a multi-disciplinary integrated education system.

Feature 2: Professionalism. All current faculty members hold doctoral degrees and have been engaged in long-term research in artificial intelligence, covering domains including natural language processing, computer vision, speech signal processing, bioinformatics, aerospace remote sensing, and intelligent control. The team comprises 7 National Natural Science Foundation grant recipients, 11 full-time faculty members with senior professional titles, and three individuals with overseas study experience, forming a young, motivated, and dynamic cohort.

Feature 3: The Artificial Intelligence program is grounded in practical teaching and research-oriented pedagogy, fully leveraging the role of industry-university-research collaboration bases. Through full participation in real-world projects, the program cultivates students' hands-on practical skills, innovative capabilities, and teamwork competencies. The department actively organizes students to participate in competitions listed in the National University Student Competitions Ranking List, with the first cohort achieving a coverage rate of 50% in national-level awards. The Artificial Intelligence program has also been selected as one of the first cooperative institutions for Huawei's “Spark Program” (literal translation: Fertile Land Program).

V. Graduate Destinations

Graduates primarily pursue careers in scientific research institutions, internet companies, new energy enterprises, and related sectors. Major employment cities include first-tier cities such as Beijing, Shanghai, Guangzhou, and Shenzhen, while second- and third-tier cities and below also offer substantial employment opportunities. Additionally, graduates may continue their academic pursuits by undertaking master's or doctoral degrees in relevant fields.