This paper reviews the composition design strategies for high entropy amorphous alloys (HEAAs), which have gained significant attention due to their unique properties. The authors summarize effective methods, including adjusting atomic ratios from quinary bulk metallic glasses, similar element addition/substitution, and combining elements from ternary/quaternary bulk metallic glasses. These methods have successfully designed HEAAs with high fracture strength and good glass-forming ability. The paper also discusses the effect of high entropy on alloy properties, potential composition design methods, and future applications in biomedical, ferromagnetic, magnetic refrigerant, catalytic, and wear-resistant materials. The use of machine learning is highlighted as a promising approach to enhance the efficiency of HEAA design.This paper reviews the composition design strategies for high entropy amorphous alloys (HEAAs), which have gained significant attention due to their unique properties. The authors summarize effective methods, including adjusting atomic ratios from quinary bulk metallic glasses, similar element addition/substitution, and combining elements from ternary/quaternary bulk metallic glasses. These methods have successfully designed HEAAs with high fracture strength and good glass-forming ability. The paper also discusses the effect of high entropy on alloy properties, potential composition design methods, and future applications in biomedical, ferromagnetic, magnetic refrigerant, catalytic, and wear-resistant materials. The use of machine learning is highlighted as a promising approach to enhance the efficiency of HEAA design.